CN112188094A

CN112188094A - Image processing method and device, computer readable medium and terminal equipment

Info

Publication number: CN112188094A
Application number: CN202011026641.6A
Authority: CN
Inventors: 张恺毅
Original assignee: Guangdong Oppo Mobile Telecommunications Corp Ltd
Current assignee: Guangdong Oppo Mobile Telecommunications Corp Ltd
Priority date: 2020-09-25
Filing date: 2020-09-25
Publication date: 2021-01-05
Anticipated expiration: 2040-09-25
Also published as: CN112188094B

Abstract

The present disclosure relates to the field of electronic device technologies, and in particular, to an image processing method, an image processing apparatus, a computer-readable medium, and a terminal device. The method comprises the following steps: acquiring a first image, and constructing a color histogram corresponding to the first image; reading the color histogram, and comparing the exposure parameter of the first image with a preset parameter range by using the color histogram; when the exposure parameters are not in the preset parameter range, configuring shooting parameters according to the exposure parameters, and acquiring a supplementary image according to the shooting parameters; and carrying out image fusion processing on the first image and the supplementary image to obtain an output image. The method can effectively avoid the condition of overexposure or underexposure when the image is shot.

Description

Image processing method and device, computer readable medium and terminal equipment

Technical Field

The present disclosure relates to the field of electronic device technologies, and in particular, to an image processing method, an image processing apparatus, a computer-readable medium, and a terminal device.

Background

The camera shooting function of the existing intelligent terminal equipment can automatically focus according to the operation of a user when shooting images and set corresponding exposure parameters, so that a better shooting effect is obtained. However, in some environments, the automatic shooting method cannot accurately set the relevant shooting parameters according to the environment, and underexposure or overexposure is likely to occur.

It is to be noted that the information disclosed in the above background section is only for enhancement of understanding of the background of the present disclosure, and thus may include information that does not constitute prior art known to those of ordinary skill in the art.

Disclosure of Invention

The present disclosure provides an image processing method, an image processing apparatus, a computer readable medium, and a terminal device, which can realize real-time automatic brightness adjustment in a photographing process, avoiding an overexposure or underexposure situation.

Additional features and advantages of the disclosure will be set forth in the detailed description which follows, or in part will be obvious from the description, or may be learned by practice of the disclosure.

According to a first aspect of the present disclosure, there is provided an image processing method including:

acquiring a first image, and constructing a color histogram corresponding to the first image;

reading the color histogram, and comparing the exposure parameter of the first image with a preset parameter range by using the color histogram;

when the exposure parameters are not in the preset parameter range, configuring shooting parameters according to the exposure parameters, and acquiring a supplementary image according to the shooting parameters;

and carrying out image fusion processing on the first image and the supplementary image to obtain an output image.

According to a second aspect of the present disclosure, there is provided an image processing apparatus comprising:

the color histogram acquisition module is used for acquiring a first image and constructing a color histogram corresponding to the first image;

the exposure parameter comparison module is used for reading the color histogram and comparing the exposure parameter of the first image with a preset parameter range by using the color histogram;

the supplementary image acquisition module is used for configuring shooting parameters according to the exposure parameters when the exposure parameters are not in a preset parameter range and acquiring supplementary images according to the shooting parameters;

and the output image generation module is used for carrying out image fusion processing on the first image and the supplementary image so as to obtain an output image.

According to a third aspect of the present disclosure, there is provided a computer readable medium having stored thereon a computer program which, when executed by a processor, implements the image processing method described above.

According to a fourth aspect of the present disclosure, there is provided a terminal device comprising:

one or more processors;

a storage device for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to implement the image processing method described above.

According to the image processing method provided by one embodiment of the disclosure, when an image is shot, by first acquiring one first image and constructing a corresponding color histogram, the exposure condition of the first image can be clearly judged through the color histogram. When the exposure parameter of the first image is not in the preset parameter range, new shooting parameters can be configured according to the exposure parameter reflected in the color histogram, and the shooting parameters are used for obtaining a supplementary image; and then the supplementary image and the first image are subjected to fusion processing to obtain an output image after the exposure parameters are optimized. Therefore, the situation of overexposure or underexposure when the image is shot can be effectively avoided.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure. It is to be understood that the drawings in the following description are merely exemplary of the disclosure, and that other drawings may be derived from those drawings by one of ordinary skill in the art without the exercise of inventive faculty.

FIG. 1 schematically illustrates a flow diagram of an image processing method in an exemplary embodiment of the disclosure;

FIG. 2 schematically illustrates a flow chart of a method of analyzing a color histogram in an exemplary embodiment of the present disclosure;

fig. 3 schematically illustrates a flowchart of a method of configuring photographing parameters in an exemplary embodiment of the present disclosure;

FIG. 4 is a diagram schematically illustrating a color histogram of a calling application presentation in an exemplary embodiment of the present disclosure;

fig. 5 schematically illustrates a composition diagram of an image processing apparatus in an exemplary embodiment of the present disclosure;

fig. 6 schematically illustrates a device structure diagram of a terminal device in an exemplary embodiment of the present disclosure.

Detailed Description

Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.

Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus their repetitive description will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices.

In the existing intelligent terminal equipment, shooting and video recording become basic functions, but in a common shooting mode or an intelligent shooting mode, the terminal has the condition that exposure parameters cannot be accurately and automatically adjusted according to ambient light, so that the shooting effect is not ideal.

In view of the above-described drawbacks and deficiencies of the prior art, an image processing method is provided in the present exemplary embodiment. Referring to fig. 1, the image processing method described above may include the steps of:

s11, acquiring a first image, and constructing a color histogram corresponding to the first image;

s12, reading the color histogram, and comparing the exposure parameter of the first image with a preset parameter range by using the color histogram;

s13, when the exposure parameter is not in the preset parameter range, configuring shooting parameters according to the exposure parameter, and acquiring a supplementary image according to the shooting parameters;

s14, carrying out image fusion processing on the first image and the supplementary image to obtain an output image.

The image processing method provided by the present exemplary embodiment, when capturing an image, first obtains a first image and constructs a corresponding color histogram, so that the exposure condition of the first image can be clearly determined through the color histogram. When the exposure parameter of the first image is not in the preset parameter range, new shooting parameters can be configured according to the exposure parameter reflected in the color histogram, and the shooting parameters are used for obtaining a supplementary image; and then the supplementary image and the first image are subjected to fusion processing to obtain an output image after the exposure parameters are optimized. Therefore, the situation of overexposure or underexposure when the image is shot can be effectively avoided.

Hereinafter, each step of the image processing method in the present exemplary embodiment will be described in more detail with reference to the drawings and examples.

In step S11, a first image is acquired, and a color histogram corresponding to the first image is constructed.

In the present exemplary embodiment, the above method can be applied to a mobile terminal device having a photographing function, such as a mobile phone or a tablet computer. Specifically, the first image may be an image acquired in a preview interface after entering a shooting program, for example, the first image may be a first image that is shot and acquired in the background after determining a focal distance after a user clicks a screen or a shooting control to perform manual focusing or trigger an automatic focusing operation, and the first image is displayed in the preview interface but is not an image shot by the user. Alternatively, the first image may be an image photographed in response to a user trigger operation; for example, the user clicks the shooting control and shoots the first image generated by shooting with the current shooting parameters, and the first image is displayed on the interactive interface and stored in the album.

After the first image is acquired, a corresponding color histogram can be constructed according to the first image, and the color features of the first image are extracted from the color histogram. For example, the first image may be input into a pre-trained model based on a clustering algorithm or a neural network algorithm to obtain a corresponding color histogram. The specific algorithm content can be realized by adopting a common technical scheme, and the comparison of the disclosure is not repeated. Alternatively, the target application may be invoked, and the color histogram generated by the application. For example, when the first image is generated, a corresponding call instruction is generated, and the call instruction is executed, so as to obtain a corresponding color histogram by calling an application program or processing the first image through an application program interface.

In step S12, the color histogram is read, and the exposure parameter of the first image is compared with a preset parameter range by using the color histogram.

In this exemplary embodiment, specifically, referring to fig. 2, the step S12 may specifically include:

step S121, reading the color histogram to obtain an exposure parameter of the first image; and

step S122, obtaining scene parameters corresponding to the first image, and configuring the preset parameter range according to the scene parameters;

step S123, comparing the exposure parameter with the preset parameter range to determine whether the exposure parameter satisfies the preset parameter range.

In the present exemplary embodiment, after the color histogram of the first image is obtained, it may be identified, corresponding color feature information is extracted, and the exposure parameter of the first image, for example, image brightness information, is obtained. For example, referring to fig. 4, the color histogram may include information on the color gradation, the number of pixels, the luminance distribution of the pixels, the color average, and the standard deviation and median. For example, the brightness of the image can be measured by using the average brightness value of each pixel point. For example, the higher the average brightness value, the brighter the photograph as a whole; the average brightness value can be obtained by dividing the brightness value of each pixel point of the image by the number of the pixel points in the image. For example, an HSV color histogram may be used to obtain color component values of each pixel on each channel, and a vector may be used to represent color features.

In addition, different scene brightness parameter ranges can be configured in advance for different shooting scenes. After the brightness information corresponding to the first image is obtained, the brightness information may be combined with the shooting scene of the first image to determine whether the brightness information is within the parameter range corresponding to the shooting scene. For example, the shooting scene may be divided according to the ambient light intensity, such as an extremely dark scene, a normal night scene, a cloudy scene, a bright scene, an indoor illumination light scene, and the like; different standard brightness parameter ranges can be configured in advance for different shooting scenes.

Alternatively, in other embodiments of the present disclosure, the parameter ranges may also be preconfigured in conjunction with the image content. For example, the exposure parameter ranges corresponding to the contents of a person image and the contents of a scenery captured in different scenes are set.

A form of scene exposure parameters can be configured and stored in a local storage space of the terminal, and after a first image is acquired, a corresponding query instruction is generated to query corresponding data contents in the form.

Alternatively, in other embodiments of the present disclosure, after the first image is acquired, the shooting parameters corresponding to the first image may be pulled to the camera system, such as: aperture, shutter speed, sensitivity, etc. And judging whether the exposure parameter of the first image meets the corresponding preset parameter range or not by utilizing the parameters.

In step S13, when the exposure parameter is not within the preset parameter range, configuring a shooting parameter according to the exposure parameter, and acquiring a supplementary image according to the shooting parameter.

In the present exemplary embodiment, if it is determined according to the above steps that the exposure parameter corresponding to the first image is not within the preset range, the case where the first image is overexposed or underexposed will be described. At this time, the analysis may be performed on the first image, specifically, as shown in fig. 3, may include:

step S131, performing image segmentation on the first image to acquire an overexposed area and/or an underexposed area corresponding to the first image;

step S132, configuring shooting parameters based on the brightness values corresponding to the underexposed area and/or the overexposed area; wherein; the photographing parameters include at least one set of photographing parameters.

In this example embodiment, a sliding window may be used to perform window search on the first image to obtain a plurality of groups of local images, and according to the histogram average corresponding to the local images, brighter and darker values in the first image may be further obtained, and the overexposed area and/or the underexposed area may be divided according to the values. Alternatively, an image segmentation model of the region of interest based on a neural network algorithm may be trained in advance, and the first image may be input to the model to perform image segmentation, thereby dividing the overexposed region and/or the overexposed region.

Then, at least one set of shooting parameters is configured according to the underexposed area and/or the overexposed area in the first image. For example, when the first image includes only an overexposed region or only an underexposed region, a corresponding set of shooting parameters may be generated. Or when the first image simultaneously includes an overexposed region and an underexposed region, two corresponding sets of shooting parameters may be generated. Wherein, the shooting parameters may include: aperture parameters, shutter parameters, sensitivity parameters, or EV (exposure), or parameters such as a specific lens used. For example, when the terminal device includes a plurality of lenses, such as a main-shot lens, a depth lens, a wide-angle lens, and a high-resolution lens, a specific lens may be selected.

The specific configuration rule of the shooting parameters may be to configure corresponding shooting parameters according to the brightness information exhibited in the color histogram. For example, if the brightness of the first image is low, a larger aperture and a slower shutter speed are correspondingly configured; and configuring to shoot with other lenses different from the first image.

After the shooting parameters are generated, shooting is carried out according to the shooting parameters by using the corresponding lens, and one or more corresponding supplementary images are acquired.

In other example embodiments of the present disclosure, if it is determined that the exposure parameter of the first image is within the preset range, it indicates that the brightness parameter of the first image is normal, and the first image is directly used as the output image without generating the configuration parameter.

In step S14, an image fusion process is performed on the first image and the supplementary image to acquire an output image.

In this example embodiment, the supplementary image includes a first supplementary image corresponding to the underexposed region and/or a second supplementary image corresponding to the overexposed region. The image may be subjected to a fusion process by a wavelet transform-based model. Specifically, the step S14 may include:

step S141, respectively performing wavelet transformation on the first image and the supplementary image to obtain corresponding image transformation coefficients;

step S142, respectively fusing the image transformation coefficients corresponding to the first image and the supplementary image at low frequency and high frequency to obtain corresponding low-frequency fusion coefficients and high-frequency fusion coefficients, and obtaining image fusion coefficients;

and step S143, performing inverse wavelet transform on the image fusion coefficient to acquire an output image.

For example, if the supplementary image only includes a first supplementary image corresponding to an underexposed region, or only includes a second supplementary image corresponding to an overexposed region, the first image and the supplementary image may be subjected to image fusion. Alternatively, if the supplementary image includes two images, that is, a first supplementary image corresponding to an underexposed region and a second supplementary image corresponding to an overexposed region, the supplementary images may be subjected to fusion processing with the first image.

Specifically, the first image, the first supplementary image, and the second supplementary image may be subjected to discrete wavelet transform at the same time to obtain image transform coefficients corresponding to the respective images, that is, high frequency components and low frequency components. In addition, since each image is an RGB image, before performing the discrete wavelet transform, it is also possible to perform a shear transform on each image in three directions once, and perform the discrete wavelet transform on the image after the shear transform. Since the three images are fused and the brightness of the images is adjusted, a fusion calculation based on the weighted average principle is performed for both the high-frequency part and the low-frequency part of each image, resulting in an image fusion coefficient. And then, performing wavelet inverse transformation on the image to obtain a fused image as an output image.

In addition, when two images are fused, for example, when the first image and the first supplementary image are fused, after the discrete wavelet transform is performed, the high frequency component may be subjected to a principle of taking a large absolute value, and the low frequency component may be subjected to a principle of weighted average. Thereby ensuring the image quality of the output image.

Or, in other exemplary embodiments of the present disclosure, the first image and the first supplementary image may be respectively fused to obtain one sub-fused image, and the first image and the second supplementary image are fused to obtain another sub-fused image, and then the two sub-fused images are combined to obtain the final output image.

In other exemplary embodiments of the present disclosure, the above-mentioned shooting parameters configured according to the exposure parameters of the first image may include multiple sets, and the specific parameter values are different between the sets of shooting parameters. Therefore, when shooting is carried out according to the shooting parameters, corresponding multiple groups of supplementary images can be acquired. By using the method, a plurality of groups of corresponding pre-output images can be obtained according to a plurality of groups of the supplementary images; and averaging the multiple groups of pre-output images to obtain the final output image. Or, each group of supplementary images can be screened, and a proper supplementary image is selected and then is subjected to image fusion with the first image.

In other exemplary embodiments of the present disclosure, only the area images of the underexposed area and/or the overexposed area after the image segmentation may be fused. Specifically, the underexposed region and/or the overexposed region of the first image and the corresponding supplementary region image may be subjected to image fusion processing to obtain a region fusion image; and then combining the first image and the region fusion image to obtain the output image.

According to the method provided by the embodiment of the disclosure, when a user uses a shooting function, a first image is obtained first, and whether a corresponding exposure parameter is normal is judged by using a color histogram of the first image. And directly outputting the image data when the exposure is normal, or generating one or more groups of shooting parameters according to the actual exposure condition of the first image when the exposure is abnormal, acquiring a corresponding supplementary image according to the shooting parameters, and fusing the supplementary image and the first image to optimize an underexposed area and/or an overexposed area in the first image. One or more groups of supplementary images are configured according to the color histogram, so that the number of the supplementary images can be determined according to the actual exposure condition of the first image, the condition that each image needs a plurality of supplementary images for fusion is avoided, and the data processing pressure is reduced. In addition, the first image is identified and analyzed in real time, the image brightness is accurately controlled according to the real-time feedback adjustment of the image brightness of the main image, and the photographing quality is improved.

It is to be noted that the above-mentioned figures are only schematic illustrations of the processes involved in the method according to an exemplary embodiment of the invention, and are not intended to be limiting. It will be readily understood that the processes shown in the above figures are not intended to indicate or limit the chronological order of the processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, e.g., in multiple modules.

Further, referring to fig. 5, the embodiment of the present example further provides an image processing apparatus 50, applied to a terminal device, including: a color histogram acquisition module 501, an exposure parameter comparison module 502, a complementary image acquisition module 503, and an output image generation module 504. Wherein the content of the first and second substances,

the color histogram obtaining module 501 may be configured to obtain a first image and construct a color histogram corresponding to the first image.

The exposure parameter comparison module 502 may be configured to read the color histogram and compare the exposure parameter of the first image with a preset parameter range by using the color histogram.

The supplementary image obtaining module 503 may be configured to configure a shooting parameter according to the exposure parameter when the exposure parameter is not within a preset parameter range, and obtain a supplementary image according to the shooting parameter.

The output image generation module 504 is configured to perform image fusion processing on the first image and the supplementary image to obtain an output image.

In an example of the present disclosure, the exposure parameter comparison module 502 may include: a color histogram reading unit, a parameter range configuration unit, and a comparison execution unit (not shown).

The color histogram reading unit may be configured to read the color histogram to acquire an exposure parameter of the first image.

The parameter range configuration unit may be configured to acquire a scene parameter corresponding to the first image, and configure the preset parameter range according to the scene parameter.

The comparison executing unit may be configured to compare the exposure parameter with the preset parameter range, so as to determine whether the exposure parameter satisfies the preset parameter range.

In one example of the present disclosure, the supplementary image acquisition module 503 may include: an image segmentation unit, a parameter configuration unit (not shown in the figure).

The image segmentation unit may be configured to perform image segmentation on the first image to obtain an overexposed area and/or an underexposed area corresponding to the first image.

The parameter configuration unit may be configured to configure a shooting parameter based on a brightness value corresponding to the underexposure region and/or the overexposure region; wherein; the photographing parameters include at least one set of photographing parameters.

In an example of the present disclosure, the supplementary image includes a first supplementary image corresponding to the underexposed region and/or a second supplementary image corresponding to the overexposed region. The output image generation module 504 may include: a transformation executing unit, a fusion coefficient obtaining unit, and an inverse transformation unit (not shown in the figure).

The transformation executing unit may be configured to perform wavelet transformation on the first image and the complementary image to obtain corresponding image transformation coefficients.

The fusion coefficient obtaining unit may be configured to perform fusion processing on the image transformation coefficients corresponding to the first image and the complementary image at low frequency and high frequency, respectively, to obtain a corresponding low-frequency fusion coefficient and a corresponding high-frequency fusion coefficient, and obtain an image fusion coefficient.

The inverse transform unit may be configured to perform an inverse wavelet transform on the image fusion coefficients to obtain an output image.

In an example of the present disclosure, the shooting parameters include a plurality of sets, and the plurality of sets of supplementary images are acquired correspondingly. The apparatus 50 may further include: sets of fusion modules (not shown).

The multi-group fusion module can be used for acquiring a plurality of groups of corresponding pre-output images according to a plurality of groups of the supplementary graphs;

and averaging the multiple groups of pre-output images to obtain the final output image.

In one example of the present disclosure, the supplementary image acquired according to the photographing parameters includes: and supplementing the image by the area corresponding to the underexposed area and/or the overexposed area.

In one example of the present disclosure, the apparatus 50 may further include: a region fusion module (not shown).

The region fusion module may be configured to perform image fusion processing on an underexposed region and/or an overexposed region of the first image and a corresponding region supplementary image to obtain a region fusion image; and combining the first image and the region fusion image to obtain the output image.

The details of each module in the image processing apparatus are already described in detail in the corresponding image processing method, and therefore, the details are not described herein again.

It should be noted that although in the above detailed description several modules or units of the device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit, according to embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into embodiments by a plurality of modules or units.

Fig. 6 shows a schematic diagram of a terminal device suitable for use in implementing an embodiment of the invention.

It should be noted that the electronic device 600 shown in fig. 6 is only an example, and should not bring any limitation to the functions and the scope of the application of the embodiments of the present disclosure.

As shown in fig. 6, the electronic device 600 may specifically include: a processor 610, an internal memory 621, an external memory interface 622, a Universal Serial Bus (USB) interface 630, a charging management module 640, a power management module 641, a battery 642, an antenna 1, an antenna 2, a mobile communication module 650, a wireless communication module 660, an audio module 670, a speaker 671, a receiver 672, a microphone 673, an earphone interface 674, a sensor module 680, a display 690, a camera module 691, a pointer 692, a motor 693, buttons 694, and a Subscriber Identity Module (SIM) card interface 695. Among other things, sensor modules 680 may include a depth sensor 6801, a pressure sensor 6802, a gyroscope sensor 6803, an air pressure sensor 6804, a magnetic sensor 6805, an acceleration sensor 6806, a distance sensor 6807, a proximity light sensor 6808, a fingerprint sensor 6809, a temperature sensor 6810, a touch sensor 6811, an ambient light sensor 6812, and a bone conduction sensor 6813.

It is to be understood that the illustrated structure of the embodiment of the present application does not constitute a specific limitation to the electronic device 600. In other embodiments of the present application, the electronic device 600 may include more or fewer components than illustrated, or combine certain components, or split certain components, or a different arrangement of components. The illustrated components may be implemented in hardware, software, or a combination of software and hardware.

Processor 610 may include one or more processing units, such as: the Processor 610 may include an Application Processor (AP), a modem Processor, a Graphics Processing Unit (GPU), an Image Signal Processor (ISP), a controller, a video codec, a Digital Signal Processor (DSP), a baseband Processor, and/or a Neural Network Processor (NPU), and the like. The different processing units may be separate devices or may be integrated into one or more processors.

The controller can generate an operation control signal according to the instruction operation code and the timing signal to complete the control of instruction fetching and instruction execution.

A memory may also be provided in the processor 610 for storing instructions and data. The memory may store instructions for implementing six modular functions: detection instructions, connection instructions, information management instructions, analysis instructions, data transmission instructions, and notification instructions, and execution is controlled by the processor 610. In some embodiments, the memory in the processor 610 is a cache memory. The memory may hold instructions or data that have just been used or recycled by the processor 610. If the processor 610 needs to use the instruction or data again, it can be called directly from the memory. Avoiding repeated accesses reduces the latency of the processor 610, thereby increasing the efficiency of the system.

In some embodiments, processor 610 may include one or more interfaces. The Interface may include an Integrated Circuit (I2C) Interface, an Inter-Integrated Circuit built-in audio (I2S) Interface, a Pulse Code Modulation (PCM) Interface, a Universal Asynchronous Receiver/transmitter (UART) Interface, a Mobile Industry Processor Interface (MIPI), a General-Purpose Input/Output (GPIO) Interface, a Subscriber Identity Module (SIM) Interface, and/or a Universal Serial Bus (USB) Interface, etc.

The I2C interface is a bi-directional synchronous Serial bus including a Serial Data line (SDA) and a Serial Clock Line (SCL). In some embodiments, processor 610 may include multiple sets of I2C buses. The processor 610 may be coupled to the touch sensor 6811, the charger, the flash, the camera module 691, etc., through different I2C bus interfaces, respectively. For example: the processor 610 may be coupled to the touch sensor 6811 via an I2C interface, such that the processor 610 and the touch sensor 6811 communicate via an I2C bus interface to implement touch functionality of the electronic device 600.

The I2S interface may be used for audio communication. In some embodiments, processor 610 may include multiple sets of I2S buses. The processor 610 may be coupled to the audio module 670 via an I2S bus to enable communication between the processor 610 and the audio module 670. In some embodiments, the audio module 670 may communicate audio signals to the wireless communication module 660 via an I2S interface to enable answering a call via a bluetooth headset.

The PCM interface may also be used for audio communication, sampling, quantizing and encoding analog signals. In some embodiments, the audio module 670 and the wireless communication module 660 may be coupled by a PCM bus interface. In some embodiments, the audio module 670 may also transmit audio signals to the wireless communication module 660 through the PCM interface, so as to implement a function of answering a call through a bluetooth headset. Both the I2S interface and the PCM interface may be used for audio communication.

The UART interface is a universal serial data bus used for asynchronous communications. The bus may be a bidirectional communication bus. It converts the data to be transmitted between serial communication and parallel communication. In some embodiments, a UART interface is generally used to connect the processor 610 and the wireless communication module 660. For example: the processor 610 communicates with the bluetooth module in the wireless communication module 660 through the UART interface to implement the bluetooth function. In some embodiments, the audio module 670 may transmit the audio signal to the wireless communication module 660 through the UART interface, so as to realize the function of playing music through the bluetooth headset.

The MIPI interface may be used to connect the processor 610 with the display screen 690, the camera module 691, and other peripheral devices. The MIPI Interface includes a Camera Serial Interface (CSI), a Display Serial Interface (DSI), and the like. In some embodiments, the processor 610 and the camera module 691 communicate via a CSI interface to implement the camera function of the electronic device 600. The processor 610 and the display screen 690 communicate via the DSI interface to implement the display function of the electronic device 600.

The GPIO interface may be configured by software. The GPIO interface may be configured as a control signal and may also be configured as a data signal. In some embodiments, a GPIO interface may be used to connect the processor 610 with the camera module 691, the display screen 690, the wireless communication module 660, the audio module 670, the sensor module 680, and the like. The GPIO interface may also be configured as an I2C interface, an I2S interface, a UART interface, a MIPI interface, and the like.

The USB interface 630 is an interface conforming to the USB standard specification, and may specifically be a MiniUSB interface, a microsusb interface, a USB type c interface, or the like. The USB interface 630 may be used to connect a charger to charge the electronic device 600, and may also be used to transmit data between the electronic device 600 and a peripheral device. And the earphone can also be used for connecting an earphone and playing audio through the earphone. The interface may also be used to connect other electronic devices, such as AR devices and the like.

It should be understood that the connection relationship between the modules according to the embodiment of the present invention is only illustrative, and is not limited to the structure of the electronic device 600. In other embodiments of the present application, the electronic device 600 may also adopt different interface connection manners or a combination of multiple interface connection manners in the above embodiments.

The charging management module 640 is configured to receive charging input from a charger. The charger may be a wireless charger or a wired charger. In some wired charging embodiments, the charging management module 640 may receive charging input from a wired charger via the USB interface 630. In some wireless charging embodiments, the charging management module 640 may receive a wireless charging input through a wireless charging coil of the electronic device 600. The charging management module 640 may also supply power to the electronic device through the power management module 641 while charging the battery 642.

The power management module 641 is configured to connect the battery 642, the charging management module 640 and the processor 610. The power management module 641 receives the input from the battery 642 and/or the charging management module 640, and supplies power to the processor 610, the internal memory 621, the display screen 690, the camera module 691, the wireless communication module 660, and the like. The power management module 641 may also be configured to monitor battery capacity, battery cycle count, battery state of health (leakage, impedance), and other parameters. In some other embodiments, the power management module 641 may be disposed in the processor 610. In other embodiments, the power management module 641 and the charging management module 640 may be disposed in the same device.

The wireless communication function of the electronic device 600 may be implemented by the antenna 1, the antenna 2, the mobile communication module 650, the wireless communication module 660, the modem processor, the baseband processor, and the like.

The antennas 1 and 2 are used for transmitting and receiving electromagnetic wave signals. Each antenna in the electronic device 600 may be used to cover a single or multiple communication bands. Different antennas can also be multiplexed to improve the utilization of the antennas. For example: the antenna 1 may be multiplexed as a diversity antenna of a wireless local area network. In other embodiments, the antenna may be used in conjunction with a tuning switch.

The mobile communication module 650 may provide a solution including 2G/3G/4G/5G wireless communication applied to the electronic device 600. The mobile communication module 650 may include at least one filter, a switch, a power Amplifier, a Low Noise Amplifier (LNA), and the like. The mobile communication module 650 may receive the electromagnetic wave from the antenna 1, filter, amplify, etc. the received electromagnetic wave, and transmit the filtered electromagnetic wave to the modem processor for demodulation. The mobile communication module 650 may also amplify the signal modulated by the modem processor, and convert the signal into electromagnetic wave through the antenna 1 to radiate the electromagnetic wave. In some embodiments, at least some of the functional modules of the mobile communication module 650 may be disposed in the processor 610. In some embodiments, at least some of the functional blocks of the mobile communication module 650 may be disposed in the same device as at least some of the blocks of the processor 610.

The modem processor may include a modulator and a demodulator. The modulator is used for modulating a low-frequency baseband signal to be transmitted into a medium-high frequency signal. The demodulator is used for demodulating the received electromagnetic wave signal into a low-frequency baseband signal. The demodulator then passes the demodulated low frequency baseband signal to a baseband processor for processing. The low frequency baseband signal is processed by the baseband processor and then transferred to the application processor. The application processor outputs a sound signal through an audio device (not limited to the speaker 671, the receiver 672, etc.) or displays an image or video through the display screen 690. In some embodiments, the modem processor may be a stand-alone device. In other embodiments, the modem processor may be separate from the processor 610, and may be located in the same device as the mobile communication module 650 or other functional modules.

The Wireless Communication module 660 may provide a solution for Wireless Communication applied to the electronic device 600, including Wireless Local Area Networks (WLANs) (e.g., Wireless Fidelity (Wi-Fi) network), Bluetooth (BT), Global Navigation Satellite System (GNSS), Frequency Modulation (FM), Near Field Communication (NFC), Infrared (IR), and the like. The wireless communication module 660 may be one or more devices integrating at least one communication processing module. The wireless communication module 660 receives electromagnetic waves via the antenna 2, performs frequency modulation and filtering on electromagnetic wave signals, and transmits the processed signals to the processor 610. The wireless communication module 660 may also receive a signal to be transmitted from the processor 610, perform frequency modulation and amplification on the signal, and convert the signal into electromagnetic waves through the antenna 2 to radiate the electromagnetic waves.

In some embodiments, antenna 1 of electronic device 600 is coupled to mobile communication module 650 and antenna 2 is coupled to wireless communication module 660 such that electronic device 600 may communicate with networks and other devices via wireless communication techniques. The wireless communication technology may include Global System for Mobile communications (GSM), General Packet Radio Service (GPRS), Code Division Multiple Access (CDMA), Wideband Code Division Multiple Access (WCDMA), Time-Division Multiple Access (Time-Division Code Division Multiple Access, TDSCDMA), Long Term Evolution (Long Term Evolution, LTE), BT, GNSS, WLAN, NFC, FM, and/or IR technologies, etc. The GNSS may include a Global Positioning System (GPS), a Global Navigation Satellite System (GLONASS), a Beidou Navigation Satellite System (BDS), a Quasi-Zenith Satellite System (QZSS), and/or a Satellite Based Augmentation System (SBAS).

The electronic device 600 implements display functions via the GPU, the display screen 690, the application processor, and the like. The GPU is a microprocessor for image processing, and is connected to the display screen 690 and an application processor. The GPU is used to perform mathematical and geometric calculations for graphics rendering. Processor 610 may include one or more GPUs that execute program instructions to generate or alter display information.

The display screen 690 is used to display images, video, etc. The display screen 690 includes a display panel. The Display panel may be a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), an Active Matrix Organic Light-Emitting Diode (Active-Matrix Organic Light-Emitting Diode, AMOLED), a flexible Light-Emitting Diode (FLED), a miniature, a Micro-oeld, a Quantum dot Light-Emitting Diode (Quantum dot Light-Emitting Diodes, QLED), or the like. In some embodiments, electronic device 600 may include 1 or N display screens 690, N being a positive integer greater than 1.

The electronic device 600 may implement a shooting function through the ISP, the camera module 691, the video codec, the GPU, the display screen 690, the application processor, and the like.

The ISP is used to process the data fed back by the camera module 691. For example, when a photo is taken, the shutter is opened, light is transmitted to the camera photosensitive element through the lens, the optical signal is converted into an electrical signal, and the camera photosensitive element transmits the electrical signal to the ISP for processing and converting into an image visible to naked eyes. The ISP can also carry out algorithm optimization on the noise, brightness and skin color of the image. The ISP can also optimize parameters such as exposure, color temperature and the like of a shooting scene. In some embodiments, the ISP may be provided in the camera module 691.

The camera module 691 is for capturing still images or video. The object generates an optical image through the lens and projects the optical image to the photosensitive element. The photosensitive element may be a Charge Coupled Device (CCD) or a Complementary Metal-Oxide-Semiconductor (CMOS) phototransistor. The light sensing element converts the optical signal into an electrical signal, which is then passed to the ISP where it is converted into a digital image signal. And the ISP outputs the digital image signal to the DSP for processing. The DSP converts the digital image signal into image signal in standard RGB, YUV and other formats. In some embodiments, the electronic device 600 may include 1 or N camera modules 691, where N is a positive integer greater than 1, and if the electronic device 600 includes N cameras, one of the N cameras is the main camera.

The digital signal processor is used for processing digital signals, and can process digital image signals and other digital signals. For example, when the electronic device 600 selects at a frequency bin, the digital signal processor is used to perform a fourier transform or the like on the frequency bin energy.

Video codecs are used to compress or decompress digital video. The electronic device 600 may support one or more video codecs. In this way, the electronic device 600 may play or record video in a variety of encoding formats, such as: moving Picture Experts Group (MPEG) 1, MPEG2, MPEG3, MPEG4, and the like.

The NPU is a Neural-Network (NN) computing processor, which processes input information quickly by using a biological Neural Network structure, for example, by using a transfer mode between neurons of a human brain, and can also learn by itself continuously. Applications such as intelligent recognition of the electronic device 600 can be realized through the NPU, for example: image recognition, face recognition, speech recognition, text understanding, and the like.

The external memory interface 622 may be used to connect an external memory card, such as a Micro SD card, to extend the memory capability of the electronic device 600. The external memory card communicates with the processor 610 through the external memory interface 622 to implement data storage functions. For example, files such as music, video, etc. are saved in an external memory card.

Internal memory 621 may be used to store computer-executable program code, including instructions. The internal memory 621 may include a program storage area and a data storage area. The storage program area may store an operating system, an application program (such as a sound playing function, an image playing function, etc.) required by at least one function, and the like. The data storage area may store data (e.g., audio data, phone book, etc.) created during use of the electronic device 600, and the like. In addition, the internal memory 621 may include a high-speed random access memory, and may further include a nonvolatile memory, such as at least one magnetic disk Storage device, a Flash memory device, a Universal Flash Storage (UFS), and the like. The processor 610 executes various functional applications of the electronic device 600 and data processing by executing instructions stored in the internal memory 621 and/or instructions stored in a memory provided in the processor.

The electronic device 600 may implement audio functions through the audio module 670, the speaker 671, the receiver 672, the microphone 673, the headset interface 674, an application processor, and the like. Such as music playing, recording, etc.

The audio module 670 is used to convert digital audio information into an analog audio signal output and also used to convert an analog audio input into a digital audio signal. The audio module 670 may also be used to encode and decode audio signals. In some embodiments, the audio module 670 may be disposed in the processor 610, or some functional modules of the audio module 670 may be disposed in the processor 610.

The speaker 671, also called "horn", is used to convert the electrical audio signals into sound signals. The electronic apparatus 600 can listen to music through the speaker 671 or listen to a hands-free call.

A receiver 672, also called "earpiece", is used to convert the electrical audio signal into an acoustic signal. When the electronic device 600 receives a call or voice information, it can receive voice by placing the receiver 672 close to the ear.

A microphone 673, also known as a "microphone", is used to convert acoustic signals into electrical signals. When making a call or transmitting voice information, the user can input a voice signal into the microphone 673 by making a sound near the microphone 673 through the mouth of the user. The electronic device 600 may be provided with at least one microphone 673. In other embodiments, the electronic device 600 may be provided with two microphones 673 to implement a noise reduction function in addition to collecting sound signals. In other embodiments, the electronic device 600 may further include three, four, or more microphones 673 to collect sound signals, reduce noise, identify sound sources, perform directional recording, and so on.

The headset interface 674 is used to connect wired headsets. The headset interface 674 may be a USB interface 630, or may be a 3.5mm Open Mobile electronic device Platform (OMTP) standard interface, a Cellular Telecommunications Industry Association of america (CTIA) standard interface.

The depth sensor 6801 is used to obtain depth information of the scene. In some embodiments, the depth sensor may be disposed in the camera module 691.

The pressure sensor 6802 is used for sensing the pressure signal and converting the pressure signal into an electrical signal. In some embodiments, pressure sensor 6802 may be disposed on display 690. The pressure sensor 6802 can be of a wide variety of types, such as a resistive pressure sensor, an inductive pressure sensor, a capacitive pressure sensor, and the like. The capacitive pressure sensor may be a sensor comprising at least two parallel plates having an electrically conductive material. When a force acts on the pressure sensor 6802, the capacitance between the electrodes changes. The electronic device 600 determines the strength of the pressure from the change in capacitance. When a touch operation is applied to the display screen 690, the electronic apparatus 600 detects the intensity of the touch operation according to the pressure sensor 6802. The electronic apparatus 600 can also calculate the position of the touch from the detection signal of the pressure sensor 6802. In some embodiments, the touch operations that are applied to the same touch position but different touch operation intensities may correspond to different operation instructions. For example: and when the touch operation with the touch operation intensity smaller than the first pressure threshold value acts on the short message application icon, executing an instruction for viewing the short message. And when the touch operation with the touch operation intensity larger than or equal to the first pressure threshold value acts on the short message application icon, executing an instruction of newly building the short message.

The gyro sensor 6803 may be used to determine a motion pose of the electronic device 600. In some embodiments, the angular velocity of electronic device 600 about three axes (i.e., x, y, and z axes) may be determined by gyroscope sensors 6803. The gyro sensor 6803 can be used for photographing anti-shake. For example, when the shutter is pressed, the gyro sensor 6803 detects a shake angle of the electronic device 600, calculates a distance to be compensated for by the lens module according to the shake angle, and allows the lens to counteract the shake of the electronic device 600 through a reverse movement, thereby achieving anti-shake. The gyro sensor 6803 can also be used for navigation and body feeling game scenes.

The air pressure sensor 6804 is for measuring air pressure. In some embodiments, the electronic device 600 calculates altitude, aiding in positioning and navigation from barometric pressure values measured by the barometric pressure sensor 6804.

The magnetic sensor 6805 comprises a hall sensor. The electronic device 600 may detect the opening and closing of the flip holster using the magnetic sensor 6805. In some embodiments, when the electronic device 600 is a flip, the electronic device 600 can detect the opening and closing of the flip according to the magnetic sensor 6805. And then according to the opening and closing state of the leather sheath or the opening and closing state of the flip cover, the automatic unlocking of the flip cover is set.

The acceleration sensor 6806 can detect the magnitude of acceleration of the electronic device 600 in various directions (typically three axes). The magnitude and direction of gravity may be detected when the electronic device 600 is stationary. The method can also be used for recognizing the posture of the electronic equipment, and is applied to horizontal and vertical screen switching, pedometers and other applications.

A distance sensor 6807 for measuring distance. The electronic device 600 may measure distance by infrared or laser. In some embodiments, taking a picture of a scene, the electronic device 600 may utilize the distance sensor 6807 to measure distances to achieve fast focus.

The proximity light sensor 6808 may include, for example, a Light Emitting Diode (LED) and a light detector, such as a photodiode. The light emitting diode may be an infrared light emitting diode. The electronic device 600 emits infrared light to the outside through the light emitting diode. The electronic device 600 uses a photodiode to detect infrared reflected light from nearby objects. When sufficient reflected light is detected, it can be determined that there is an object near the electronic device 600. When insufficient reflected light is detected, the electronic device 600 may determine that there are no objects near the electronic device 600. The electronic device 600 can utilize the proximity light sensor 6808 to detect that the user holds the electronic device 600 close to the ear for communication, so as to automatically turn off the screen to save power. The proximity light sensor 6808 can also be used in a holster mode, a pocket mode automatically unlocking and locking the screen.

The fingerprint sensor 6809 is for collecting a fingerprint. The electronic device 600 can utilize the collected fingerprint characteristics to achieve fingerprint unlocking, access an application lock, fingerprint photographing, fingerprint incoming call answering, and the like.

The temperature sensor 6810 is used to detect temperature. In some embodiments, the electronic device 600 implements a temperature processing strategy using the temperature detected by the temperature sensor 6810. For example, when the temperature reported by the temperature sensor 6810 exceeds a threshold, the electronic device 600 performs a reduction in performance of a processor located near the temperature sensor 6810 to reduce power consumption and implement thermal protection. In other embodiments, the electronic device 600 heats the battery 642 when the temperature is below another threshold to avoid a low temperature causing the electronic device 600 to shut down abnormally. In other embodiments, when the temperature is below a further threshold, the electronic device 600 performs a boost on the output voltage of the battery 642 to avoid an abnormal shutdown due to low temperatures.

The touch sensor 6811 is also referred to as a "touch device". The touch sensor 6811 may be disposed on the display screen 690, and the touch sensor 6811 and the display screen 690 form a touch screen, which is also referred to as a "touch screen". The touch sensor 6811 is used to detect a touch operation applied thereto or therearound. The touch sensor can communicate the detected touch operation to the application processor to determine the touch event type. Visual output associated with the touch operation may be provided via the display screen 690. In other embodiments, the touch sensor 6811 can be disposed on the surface of the electronic device 600 at a different location than the display screen 690.

The ambient light sensor 6812 is used to sense the ambient light level. Electronic device 600 may adaptively adjust the brightness of display 690 based on the perceived ambient light level. The ambient light sensor 6812 can also be used to automatically adjust the white balance when taking a picture. The ambient light sensor 6812 can also cooperate with the proximity light sensor 6808 to detect whether the electronic device 600 is in a pocket for protection against accidental touches.

The bone conduction sensor 6813 can acquire a vibration signal. In some embodiments, the bone conduction sensor 6813 can acquire vibration signals of the human voice vibrating a bone mass. The bone conduction sensor 6813 may receive a blood pressure pulsation signal in contact with the pulse of the human body. In some embodiments, the bone conduction sensor 6813 may also be disposed in a headset, integrated into a bone conduction headset. The audio module 670 may analyze a voice signal based on the vibration signal of the bone block vibrated by the sound part acquired by the bone conduction sensor 6813, so as to implement a voice function. The application processor can analyze heart rate information based on the blood pressure pulsation signal acquired by the bone conduction sensor 6813, so as to realize a heart rate detection function.

Keys 694 include a power-on key, a volume key, etc. Keys 694 may be mechanical keys. Or may be touch keys. The electronic apparatus 600 may receive a key input, and generate a key signal input related to user setting and function control of the electronic apparatus 600.

The motor 693 may generate a vibration cue. The motor 693 can be used for incoming call vibration prompt and also for touch vibration feedback. For example, touch operations applied to different applications (e.g., photographing, audio playing, etc.) may correspond to different vibration feedback effects. The motor 693 may also respond to different vibration feedback effects for touch operations applied to different areas of the display screen 690. Different application scenes (such as time reminding, receiving information, alarm clock, game and the like) can also correspond to different vibration feedback effects. The touch vibration feedback effect may also support customization.

Indicator 692 may be an indicator light that may be used to indicate a state of charge, a change in charge, or may be used to indicate a message, a missed call, a notification, etc.

The SIM card interface 695 is used for connecting a SIM card. The SIM card can be attached to and detached from the electronic device 600 by being inserted into the SIM card interface 695 or being pulled out of the SIM card interface 695. The electronic device 600 may support 1 or N SIM card interfaces, N being a positive integer greater than 1. The SIM card interface 695 can support a Nano SIM card, a Micro SIM card, a SIM card, etc. Multiple cards can be inserted into the same SIM card interface 695 at the same time. The types of the plurality of cards may be the same or different. The SIM card interface 695 may also be compatible with different types of SIM cards. The SIM interface 695 may also be compatible with an external memory card. The electronic device 600 interacts with the network through the SIM card to implement functions such as communication and data communication. In some embodiments, the electronic device 600 employs esims, namely: an embedded SIM card. The eSIM card can be embedded in the electronic device 600 and cannot be separated from the electronic device 600.

In particular, according to an embodiment of the present invention, the processes described below with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the invention include a computer program product comprising a computer program embodied on a computer-readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via the communication section, and/or installed from a removable medium. The computer program, when executed by a Central Processing Unit (CPU), performs various functions defined in the system of the present application.

It should be noted that the computer readable medium shown in the embodiment of the present invention may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a Read-Only Memory (ROM), an Erasable Programmable Read-Only Memory (EPROM), a flash Memory, an optical fiber, a portable Compact Disc Read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present invention, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present invention, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wired, etc., or any suitable combination of the foregoing.

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The units described in the embodiments of the present invention may be implemented by software, or may be implemented by hardware, and the described units may also be disposed in a processor. Wherein the names of the elements do not in some way constitute a limitation on the elements themselves.

It should be noted that, as another aspect, the present application also provides a computer-readable medium, which may be included in the electronic device described in the above embodiment; or may exist separately without being assembled into the electronic device. The computer readable medium carries one or more programs which, when executed by an electronic device, cause the electronic device to implement the method as described in the embodiments below. For example, the electronic device may implement the steps shown in fig. 1.

Furthermore, the above-described figures are merely schematic illustrations of processes involved in methods according to exemplary embodiments of the invention, and are not intended to be limiting. It will be readily understood that the processes shown in the above figures are not intended to indicate or limit the chronological order of the processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, e.g., in multiple modules.

Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.

It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is to be limited only by the terms of the appended claims.

Claims

1. An image processing method, comprising:

2. The method of claim 1, wherein reading the color histogram and comparing the exposure parameter of the first image with a preset parameter range using the color histogram comprises:

reading the color histogram to obtain an exposure parameter of the first image; and

acquiring scene parameters corresponding to the first image, and configuring the preset parameter range according to the scene parameters;

and comparing the exposure parameter with the preset parameter range to judge whether the exposure parameter meets the preset parameter range.

3. The method according to claim 1, wherein configuring the shooting parameters according to the exposure parameter configuration when the exposure parameters are not within a preset parameter range comprises:

performing image segmentation on the first image to acquire an overexposed area and/or an underexposed area corresponding to the first image;

configuring shooting parameters based on the brightness values corresponding to the underexposed area and/or the overexposed area; wherein; the photographing parameters include at least one set of photographing parameters.

4. The method according to claim 3, wherein the supplementary image comprises a first supplementary image corresponding to the underexposed region and/or a second supplementary image corresponding to the overexposed region;

the image fusion processing of the first image and the supplementary image to obtain an output image includes:

respectively performing wavelet transformation on the first image and the supplementary image to obtain corresponding image transformation coefficients;

respectively carrying out fusion processing on the image transformation coefficients corresponding to the first image and the supplementary image at low frequency and high frequency to obtain corresponding low-frequency fusion coefficients and high-frequency fusion coefficients and obtain image fusion coefficients;

and performing wavelet inverse transformation on the image fusion coefficient to acquire an output image.

5. The method of claim 4, wherein the shooting parameters include a plurality of sets, and the plurality of sets of complementary images are acquired correspondingly; the method further comprises the following steps:

acquiring a plurality of groups of corresponding pre-output images according to the plurality of groups of complementary images;

6. The method according to claim 4, wherein the supplementary image acquired according to the photographing parameters comprises: and supplementing the image by the area corresponding to the underexposed area and/or the overexposed area.

7. The method of claim 6, wherein the image fusion processing the first image and the supplemental image to obtain the output image comprises:

carrying out image fusion processing on the underexposed area and/or the overexposed area of the first image and the corresponding area supplementary image to obtain an area fusion image;

and combining the first image and the region fusion image to obtain the output image.

8. An image processing apparatus characterized by comprising:

9. A computer-readable medium, on which a computer program is stored which, when being executed by a processor, carries out the image processing method of any one of claims 1 to 7.

10. A terminal device, comprising:

one or more processors;

storage means for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to carry out the image processing method according to any one of claims 1 to 7.