CN112135053A

CN112135053A - Image processing method, mobile terminal and computer readable storage medium

Info

Publication number: CN112135053A
Application number: CN202011021612.0A
Authority: CN
Inventors: 石先勇; 崔小辉
Original assignee: Nubia Technology Co Ltd
Current assignee: Nubia Technology Co Ltd
Priority date: 2020-09-25
Filing date: 2020-09-25
Publication date: 2020-12-25

Abstract

The application provides an image processing method, which comprises the following steps: in the night scene mode, adjusting an exposure value of a camera of the mobile terminal and collecting multiple frames of original images under multiple different exposure values; carrying out first image processing on a plurality of frames of original images to obtain a first image; acquiring metadata information of each image frame in a first image and performing second image processing on the first image based on the metadata information to obtain a second image; coding the second image to obtain a target image; the original image is a Mipiraw format image, the first image and the second image are YUV format images, and the target image is a JPEG format image. The application also provides a mobile terminal and a computer readable storage medium. According to the method, the first image is processed in different modes according to the metadata information of each image frame in the first image, the processing mode can be suitable for different shooting environments, and the quality of the obtained second image is better.

Description

Image processing method, mobile terminal and computer readable storage medium

Technical Field

The present application relates to the field of communications technologies, and in particular, to an image processing method, a mobile terminal, and a computer-readable storage medium.

Background

At present, the photographing function of a mobile terminal is more and more powerful, the night scene photographing function becomes a necessary function, the existing principle is that a plurality of raw format images are obtained by adjusting the exposure value of a camera of the mobile terminal, and the plurality of raw format images are synthesized into a synthesized image, the dark brightening and detail enhancement can be effectively realized by the method, but only one set of dark brightening and detail enhancement scheme can be commonly used for different dark environments, so that the effect of optimizing the dark environment I can influence the dark environment II, and finally, the effect of each place cannot achieve the best performance. For such a situation, the current common processing scheme is to make each environment reach an intermediate balanced state, but the effect is not ideal, and all the requirements of the dark environment cannot be met.

Disclosure of Invention

The present application is directed to an image processing method, a mobile terminal and a computer-readable storage medium, which aim to dynamically detect a shooting environment condition and then implement different brightening and detail enhancement for different shooting environment conditions.

In order to achieve the above object, the present application provides an image processing method, where the image processing method is applied to a mobile terminal, where the mobile terminal includes at least one camera, and the image processing method includes: in a night scene mode, adjusting the exposure value of the camera and acquiring multiple frames of original images under different exposure values through the camera; carrying out first image processing on a plurality of frames of original images to obtain a first image; acquiring metadata information of each image frame in the first image and performing second image processing on the first image based on the metadata information to obtain a second image; coding the second image to obtain a target image; the original image is a Mipiraw format image, the first image and the second image are YUV format images, and the target image is a JPEG format image.

Optionally, the step of performing first image processing on a plurality of frames of the original image to obtain a first image includes:

converting a plurality of frames of the original images through a preset night scene algorithm to obtain a plurality of frames of first intermediate images;

synthesizing a plurality of frames of the first intermediate image through a preset synthesis algorithm to obtain a second intermediate image; and

performing preset processing on the second intermediate image to obtain the first image;

wherein the first intermediate image and the second intermediate image are both Ideal raw format images.

Optionally, the step of synthesizing, by using a preset synthesis algorithm, a plurality of frames of the first intermediate image to obtain a second intermediate image includes:

correcting a plurality of frames of the first intermediate images to obtain a plurality of frames of images with the same angle;

carrying out mean value filtering processing, brightness enhancement processing and wavelet denoising processing on multiple frames of images with the same angle in sequence to obtain a low-noise image; and

and carrying out local curve adaptation and compression processing on the low-noise image to obtain the second intermediate image.

Optionally, the step of performing correction processing on a plurality of frames of the first intermediate image to obtain a plurality of frames of images at the same angle includes:

and performing motion detection correction on other first intermediate images except the first frame image in the first intermediate image by taking the first frame image in the plurality of frames of the first intermediate images as a reference, so that the plurality of frames of the first intermediate images are corrected to the same shooting angle, and obtaining a plurality of frames of the images at the same angle.

Optionally, the step of performing second image processing on the first image based on the metadata information to obtain a second image includes:

acquiring a current shooting environment brightness value based on the metadata information; and

and performing the second image processing on the first image according to the current shooting environment brightness value to obtain the second image.

Optionally, the step of performing second image processing on the first image according to the current shooting environment brightness value includes:

comparing the current shooting environment brightness value with a preset environment brightness value;

when the current shooting environment brightness value is higher than the preset environment brightness value, adjusting the definition gain of the first image; and

and when the current shooting environment brightness value is lower than the preset environment brightness value, adjusting the brightness enhancement gain of the first image.

Optionally, the step of performing preset processing on the second intermediate image includes:

and performing one or more of mosaic processing, sharpening processing, denoising processing, color conversion processing and color enhancement processing on the second intermediate image.

Optionally, the mobile terminal further includes a video encoder, and the step of performing encoding processing on the second image to obtain the target image includes:

and performing the encoding processing on the second image through the video encoder to obtain the target image.

The present application further provides a mobile terminal, the mobile terminal including: a touch screen; a processor; and the memory is connected with the processor and comprises a control instruction, and when the processor reads the control instruction, the mobile terminal is controlled to realize the image processing method.

The present application also provides a computer-readable storage medium having one or more programs, which are executed by one or more processors, to implement the above-described image processing method.

According to the image processing method, the mobile terminal and the computer readable storage medium, under a night scene mode, the exposure value of the camera is adjusted, and multiple frames of original images under different exposure values are collected through the camera; carrying out first image processing on a plurality of frames of original images to obtain a first image; acquiring metadata information of each image frame in the first image and performing second image processing on the first image based on the metadata information to obtain a second image; coding the second image to obtain a target image; wherein the original image is a Mipiraw format image, the first image and the second image are YUV format images, and the target image is a JPEG format image, so that in a night scene mode, acquiring multiple frames of original images by adjusting the exposure value of the camera of the mobile terminal and carrying out first image processing on the multiple frames of original images to obtain a first image, then obtaining a second image by obtaining metadata information of each image frame in the first image to perform second image processing on the first image based on the metadata information, so that the first image is processed differently according to the metadata information of each image frame in the first image, the processing mode can be suitable for different shooting environments, so that the quality of the obtained second image is better, the definition of the image is ensured, and the image distortion is reduced.

The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.

Drawings

Fig. 1 is a schematic diagram of a hardware structure of an optional mobile terminal for implementing various embodiments of the present application;

FIG. 2 is a schematic diagram of a communication network system of the mobile terminal shown in FIG. 1;

fig. 3 is a flowchart of an image processing method according to an embodiment of the present application;

fig. 4 is a schematic structural diagram of a mobile terminal according to an embodiment of the present application.

The implementation, functional features and advantages of the objectives of the present application will be further explained with reference to the accompanying drawings.

Detailed Description

It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

In the following description, suffixes such as "module", "component", or "unit" used to denote elements are used only for facilitating the explanation of the present invention, and have no specific meaning in itself. Thus, "module", "component" or "unit" may be used mixedly.

The terminal may be implemented in various forms. For example, the terminal described in the present invention may include a mobile terminal such as a mobile phone, a tablet computer, a notebook computer, a palmtop computer, a Personal Digital Assistant (PDA), a Portable Media Player (PMP), a navigation device, a wearable device, a smart band, a pedometer, and the like, and a fixed terminal such as a Digital TV, a desktop computer, and the like.

The following description will be given by way of example of a mobile terminal, and it will be understood by those skilled in the art that the construction according to the embodiment of the present invention can be applied to a fixed type terminal, in addition to elements particularly used for mobile purposes.

Referring to fig. 1, which is a schematic diagram of a hardware structure of a mobile terminal for implementing various embodiments of the present invention, the mobile terminal 100 may include: RF (Radio Frequency) unit 101, WiFi module 102, audio output unit 103, a/V (audio/video) input unit 104, sensor 105, display unit 106, user input unit 107, interface unit 108, memory 109, processor 110, and power supply 111. Those skilled in the art will appreciate that the mobile terminal architecture shown in fig. 1 is not intended to be limiting of mobile terminals, which may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.

The various components of the mobile terminal 100 are described in detail below with reference to fig. 1:

the radio frequency unit 101 may be configured to receive and transmit signals during information transmission and reception or during a call, and specifically, receive downlink information of a base station and then process the downlink information to the processor 110; in addition, the uplink data is transmitted to the base station. Typically, radio frequency unit 101 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like. In addition, the radio frequency unit 101 can also communicate with a network and other devices through wireless communication. The wireless communication may use any communication standard or protocol, including but not limited to GSM (Global System for Mobile communications), GPRS (General Packet Radio Service), CDMA2000(Code Division Multiple Access 2000), WCDMA (Wideband Code Division Multiple Access), TD-SCDMA (Time Division-Synchronous Code Division Multiple Access), FDD-LTE (Frequency Division duplex Long Term Evolution), and TDD-LTE (Time Division duplex Long Term Evolution).

WiFi belongs to short-distance wireless transmission technology, and the mobile terminal can help a user to receive and send e-mails, browse webpages, access streaming media and the like through the WiFi module 102, and provides wireless broadband internet access for the user. Although fig. 1 shows the WiFi module 102, it is understood that it does not belong to the essential constitution of the mobile terminal, and may be omitted entirely as needed within the scope not changing the essence of the invention.

The audio output unit 103 may convert audio data received by the radio frequency unit 101 or the WiFi module 102 or stored in the memory 109 into an audio signal and output as sound when the mobile terminal 100 is in a call signal reception mode, a call mode, a recording mode, a voice recognition mode, a broadcast reception mode, or the like. Also, the audio output unit 103 may also provide audio output related to a specific function performed by the mobile terminal 100 (e.g., a call signal reception sound, a message reception sound, etc.). The audio output unit 103 may include a speaker, a buzzer, and the like.

The a/V input unit 104 is used to receive audio or video signals. The a/V input Unit 104 may include a Graphics Processing Unit (GPU) 1041 and a microphone 1042, the Graphics processor 1041 Processing image data of still pictures or video obtained by an image capturing device (e.g., a camera) in a video capturing mode or an image capturing mode. The processed image frames may be displayed on the display unit 106. The image frames processed by the graphic processor 1041 may be stored in the memory 109 (or other storage medium) or transmitted via the radio frequency unit 101 or the WiFi module 102. The microphone 1042 may receive sounds (audio data) via the microphone 1042 in a phone call mode, a recording mode, a voice recognition mode, or the like, and may be capable of processing such sounds into audio data. The processed audio (voice) data may be converted into a format output transmittable to a mobile communication base station via the radio frequency unit 101 in case of a phone call mode. The microphone 1042 may implement various types of noise cancellation (or suppression) algorithms to cancel (or suppress) noise or interference generated in the course of receiving and transmitting audio signals.

The mobile terminal 100 also includes at least one sensor 105, such as a light sensor, a motion sensor, and other sensors. Specifically, the light sensor includes an ambient light sensor that can adjust the brightness of the display panel 1061 according to the brightness of ambient light, and a proximity sensor that can turn off the display panel 1061 and/or a backlight when the mobile terminal 100 is moved to the ear. As one of the motion sensors, the accelerometer sensor can detect the magnitude of acceleration in each direction (generally, three axes), can detect the magnitude and direction of gravity when stationary, and can be used for applications of recognizing the posture of a mobile phone (such as horizontal and vertical screen switching, related games, magnetometer posture calibration), vibration recognition related functions (such as pedometer and tapping), and the like; as for other sensors such as a fingerprint sensor, a pressure sensor, an iris sensor, a molecular sensor, a gyroscope, a barometer, a hygrometer, a thermometer, and an infrared sensor, which can be configured on the mobile phone, further description is omitted here.

The display unit 106 is used to display information input by a user or information provided to the user. The Display unit 106 may include a Display panel 1061, and the Display panel 1061 may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like.

The user input unit 107 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the mobile terminal. Specifically, the user input unit 107 may include a touch panel 1071 and other input devices 1072. The touch panel 1071, also referred to as a touch screen, may collect a touch operation performed by a user on or near the touch panel 1071 (e.g., an operation performed by the user on or near the touch panel 1071 using a finger, a stylus, or any other suitable object or accessory), and drive a corresponding connection device according to a predetermined program. The touch panel 1071 may include two parts of a touch detection device and a touch controller. The touch detection device detects the touch direction of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch sensing device, converts the touch information into touch point coordinates, sends the touch point coordinates to the processor 110, and can receive and execute commands sent by the processor 110. In addition, the touch panel 1071 may be implemented in various types, such as a resistive type, a capacitive type, an infrared ray, and a surface acoustic wave. In addition to the touch panel 1071, the user input unit 107 may include other input devices 1072. In particular, other input devices 1072 may include, but are not limited to, one or more of a physical keyboard, function keys (e.g., volume control keys, switch keys, etc.), a trackball, a mouse, a joystick, and the like, and are not limited to these specific examples.

Further, the touch panel 1071 may cover the display panel 1061, and when the touch panel 1071 detects a touch operation thereon or nearby, the touch panel 1071 transmits the touch operation to the processor 110 to determine the type of the touch event, and then the processor 110 provides a corresponding visual output on the display panel 1061 according to the type of the touch event. Although the touch panel 1071 and the display panel 1061 are shown in fig. 1 as two separate components to implement the input and output functions of the mobile terminal, in some embodiments, the touch panel 1071 and the display panel 1061 may be integrated to implement the input and output functions of the mobile terminal, and is not limited herein.

The interface unit 108 serves as an interface through which at least one external device is connected to the mobile terminal 100. For example, the external device may include a wired or wireless headset port, an external power supply (or battery charger) port, a wired or wireless data port, a memory card port, a port for connecting a device having an identification module, an audio input/output (I/O) port, a video I/O port, an earphone port, and the like. The interface unit 108 may be used to receive input (e.g., data information, power, etc.) from external devices and transmit the received input to one or more elements within the mobile terminal 100 or may be used to transmit data between the mobile terminal 100 and external devices.

The memory 109 may be used to store software programs as well as various data. The memory 109 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. Further, the memory 109 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.

The processor 110 is a control center of the mobile terminal, connects various parts of the entire mobile terminal using various interfaces and lines, and performs various functions of the mobile terminal and processes data by operating or executing software programs and/or modules stored in the memory 109 and calling data stored in the memory 109, thereby performing overall monitoring of the mobile terminal. Processor 110 may include one or more processing units; preferably, the processor 110 may integrate an application processor, which mainly handles operating systems, user interfaces, application programs, etc., and a modem processor, which mainly handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 110.

The mobile terminal 100 may further include a power supply 111 (e.g., a battery) for supplying power to various components, and preferably, the power supply 111 may be logically connected to the processor 110 via a power management system, so as to manage charging, discharging, and power consumption management functions via the power management system.

Although not shown in fig. 1, the mobile terminal 100 may further include a bluetooth module or the like, which is not described in detail herein.

In order to facilitate understanding of the embodiments of the present invention, a communication network system on which the mobile terminal of the present invention is based is described below.

Referring to fig. 2, fig. 2 is an architecture diagram of a communication Network system according to an embodiment of the present invention, where the communication Network system is an LTE system of a universal mobile telecommunications technology, and the LTE system includes a UE (User Equipment) 201, an E-UTRAN (Evolved UMTS Terrestrial Radio Access Network) 202, an EPC (Evolved Packet Core) 203, and an IP service 204 of an operator, which are in communication connection in sequence.

Specifically, the UE201 may be the terminal 100 described above, and is not described herein again.

The E-UTRAN202 includes eNodeB2021 and other eNodeBs 2022, among others. Among them, the eNodeB2021 may be connected with other eNodeB2022 through backhaul (e.g., X2 interface), the eNodeB2021 is connected to the EPC203, and the eNodeB2021 may provide the UE201 access to the EPC 203.

The EPC203 may include an MME (Mobility Management Entity) 2031, an HSS (Home Subscriber Server) 2032, other MMEs 2033, an SGW (Serving gateway) 2034, a PGW (PDN gateway) 2035, and a PCRF (Policy and Charging Rules Function) 2036, and the like. The MME2031 is a control node that handles signaling between the UE201 and the EPC203, and provides bearer and connection management. HSS2032 is used to provide registers to manage functions such as home location register (not shown) and holds subscriber specific information about service characteristics, data rates, etc. All user data may be sent through SGW2034, PGW2035 may provide IP address assignment for UE201 and other functions, and PCRF2036 is a policy and charging control policy decision point for traffic data flow and IP bearer resources, which selects and provides available policy and charging control decisions for a policy and charging enforcement function (not shown).

The IP services 204 may include the internet, intranets, IMS (IP Multimedia Subsystem), or other IP services, among others.

Although the LTE system is described as an example, it should be understood by those skilled in the art that the present invention is not limited to the LTE system, but may also be applied to other wireless communication systems, such as GSM, CDMA2000, WCDMA, TD-SCDMA, and future new network systems.

Based on the above mobile terminal hardware structure and communication network system, the present invention provides various embodiments of the method.

Fig. 3 is a flowchart of an embodiment of an image processing method provided in the present application. Once the method of this embodiment is triggered by the user, the process in this embodiment is automatically executed by the mobile terminal 100, where each step may be executed sequentially according to the sequence in the flowchart, or may be executed simultaneously according to a plurality of steps in an actual situation, which is not limited herein. The mobile terminal 100 includes at least one camera. The image processing method provided by the application comprises the following steps:

step S310, in a night scene mode, adjusting an exposure value of the camera and collecting multiple frames of original images under different exposure values through the camera;

step S330, performing first image processing on a plurality of frames of original images to obtain a first image;

step S350, obtaining metadata information of each image frame in the first image, and performing second image processing on the first image based on the metadata information to obtain a second image.

Step S370, performing encoding processing on the second image to obtain a target image; the original image is a Mipiraw format image, the first image and the second image are YUV format images, and the target image is a JPEG format image.

Through the embodiment, in a night scene mode, a plurality of frames of original images are collected by adjusting the exposure value of the camera of the mobile terminal, first image processing is carried out on the plurality of frames of original images to obtain first images, then metadata information of each image frame in the first images is obtained, second image processing is carried out on the first images based on the metadata information to obtain second images, and therefore different processing modes are carried out on the first images according to the metadata information of each image frame in the first images.

The above steps will be specifically described with reference to specific examples.

In step S310, in the night mode, adjusting an exposure value of the camera and capturing multiple frames of original images at multiple different exposure values through the camera.

In this embodiment, taking the mobile terminal 100 as a mobile phone as an example, the camera may be a front camera or a rear camera of the mobile terminal 100. The original image is a Mipiraw format image. The Exposure Value (EV) may be an amount reflecting how much Exposure is, which is initially defined as: when the sensitivity is ISO 100, the aperture ratio is F1, and the exposure time is 1 second, the exposure amount is defined as 0, the exposure amount is decreased by one step (the shutter time is decreased by half or the aperture is decreased by one step), and the EV value is + 1; the exposure amount is increased by one step (the shutter time is doubled or the aperture is increased by one step), and the EV value is-1.

Specifically, when receiving a touch operation of a user on a camera application of the mobile terminal 100, controlling to start the camera and switching a shooting mode to the night view mode on a setting interface of the camera application. In the night scene mode, the exposure parameters of the camera are adjusted to adjust the exposure value, multiple frames of the original image under different exposure values can be collected through the camera, and the multiple frames of the original image are stored in a preset image database, so that subsequent searching and processing are facilitated. The exposure parameters may include exposure time, sensitivity, and the like.

For example, the exposure value of the camera may be set to eight different values, and then eight frames of the original image at eight different exposure values are captured by the camera.

In step S330, a plurality of frames of the original image are subjected to first image processing to obtain a first image.

Specifically, the first image is a YUV format image.

In this embodiment, the step of performing the first image processing on a plurality of frames of the original images to obtain the first image includes:

step S3301, converting multiple frames of the original images through a preset night scene algorithm to obtain multiple frames of first intermediate images;

step S3302, synthesizing a plurality of frames of the first intermediate image through a preset synthesis algorithm to obtain a second intermediate image;

step S3302, performing preset processing on the second intermediate image to obtain the first image;

In this embodiment, the mobile terminal 100 may form at least one image processing node. During the process of checking a certain object, the image processing node can receive a plurality of image processing tasks and execute the image processing tasks, so that a user can check partial checking images during the checking process of the object and adjust the checking according to the checking images; after the examination of the subject is completed, the image processing node may receive and execute a plurality of image processing tasks to generate a final examination image from data obtained by the current examination, and optimize the examination images.

In the present embodiment, the mobile terminal 100 may form three image processing nodes, a first image processing node, a second image processing node, and a third image processing node. In other embodiments, the mobile terminal 100 may form any number of image processing nodes.

Specifically, firstly, multi-frame images in the Mipiraw format under different exposure values are obtained, and a first image processing node converts the multi-frame images in the Mipiraw format through the preset night scene algorithm to obtain a plurality of frames of images in the Idealraw format; and secondly, synthesizing the plurality of frames of Ideal raw format images through a preset synthesis algorithm to obtain synthesized Ideal raw format images, and finally, presetting the synthesized Ideal raw format images to obtain the YUV format images.

In this embodiment, the step of synthesizing a plurality of frames of the first intermediate image by using a preset synthesis algorithm to obtain a second intermediate image includes:

step S33021, correcting multiple frames of the first intermediate image to obtain multiple frames of images with the same angle;

step S33022, sequentially performing mean filtering processing, brightness enhancement processing and wavelet denoising processing on a plurality of frames of the same-angle images to obtain a low-noise image; and

and step S33023, performing local curve adaptation and compression processing on the low-noise image to obtain the second intermediate image.

In this embodiment, after obtaining a plurality of frames of the first intermediate image, the first intermediate image is corrected to obtain a plurality of frames of the same-angle images, then the plurality of frames of the same-angle images are sequentially subjected to mean filtering, brightness enhancement and wavelet denoising to obtain a low-noise image, and finally the low-noise image is subjected to local curve adaptation and compression to obtain the second intermediate image, so that the dynamic range of the image is wider, the image noise is less, and more image details can be displayed.

Specifically, a preset motion detection algorithm may be adopted to correct multiple frames of the first intermediate images to the same shooting angle, so as to obtain multiple frames of images at the same angle. The preset motion detection algorithm may refer to a motion detection correction algorithm or an optical flow algorithm of video compression. The mean filtering process may include: and carrying out mean value filtering processing on each frame of image in the same-angle image to obtain a plurality of frames of intermediate images. The brightness enhancement processing may include: accumulating the pixel value of each pixel point in the multi-frame intermediate image to obtain an accumulated pixel value of each pixel point, subtracting a preset pixel value threshold value from the accumulated pixel value of each pixel point to be used as a final pixel value of the pixel point, and obtaining a frame of brightness-enhanced intermediate image when each pixel point obtains the final pixel value. The wavelet denoising processing process may include: and using an edge detection algorithm to obtain image content edge information of the brightness enhancement intermediate image, dividing the brightness enhancement intermediate image into a plurality of regions according to the obtained image content edge information, and respectively performing wavelet denoising on each region to obtain a frame of low-noise image. The local curve adaptation may refer to performing an increase or decrease operation on a two-dimensional spatial curve with respect to another corresponding dimension value within a certain value range in one dimension. The local curve adaptation can be adopted for adaptation based on image content, and is not simple in compression, so that the compression operation through the local curve adaptation can improve the brightness enhancement of the previous darker area, and has the function of brightness enhancement.

In this embodiment, the step of performing correction processing on a plurality of frames of the first intermediate image to obtain a plurality of frames of images at the same angle includes:

step S33024, with a first frame image of the plurality of frames of first intermediate images as a reference, performing motion detection correction on the first intermediate images except for the first frame image in the first intermediate image, so that the plurality of frames of first intermediate images are corrected to the same shooting angle, and thus obtaining a plurality of frames of images at the same angle.

Specifically, the first frame of image may refer to a frame of original image that is acquired earliest by a camera in time among a plurality of frames of the first intermediate image. In another embodiment, the first frame image may refer to any one of a plurality of frames of the first intermediate image.

In this embodiment, taking the example that the camera captures eight frames of the original images, and taking a first frame image in the eight frames of the first intermediate images as a reference, motion detection and correction are performed on other seven frames of the first intermediate images except for the first frame image in the first intermediate images, so that the eight frames of the first intermediate images are corrected to the same shooting angle, and eight frames of images with the same angle are obtained.

In this embodiment, the step of performing the preset processing on the second intermediate image includes:

and step S3303, performing one or more combination processes of mosaic processing, sharpening processing, denoising processing, color conversion processing, and color enhancement processing on the second intermediate image.

Specifically, the first image processing node performs mosaic processing, sharpening processing, denoising processing, color conversion processing, and color enhancement processing on the IdealRaw format image, so as to obtain the YUV format image. It will be appreciated that the pre-set processing may also be some other conventional image processing operation.

In step S350, metadata information of each image frame in the first image is obtained, and second image processing is performed on the first image based on the metadata information, so as to obtain a second image.

In this embodiment, the second image is a YUV format image. Metadata (Metadata), also called intermediary data and relay data, is data (data about data) describing data, and is mainly information describing data attribute (property) for supporting functions such as indicating storage location, history data, resource search, file record, and the like.

In this embodiment, the step of performing second image processing on the first image based on the metadata information to obtain a second image includes:

step S3501, obtaining the brightness value of the current shooting environment based on the metadata information;

step S3502, performing the second image processing on the first image according to the brightness value of the current shooting environment to obtain the second image.

Specifically, after obtaining metadata information of each image frame in the first image, the second image processing node obtains the current shooting environment brightness value based on the metadata information, and then performs the second image processing on the first image according to the current shooting environment brightness value to obtain the second image, so that the quality of the second image is better than that of the first image.

In this embodiment, the step of performing the second image processing on the first image according to the current shooting environment brightness value includes:

step S3503, comparing the brightness value of the current shooting environment with a preset environment brightness value;

step S3504, when the brightness value of the current shooting environment is higher than the preset environment brightness value, adjusting the sharpness gain of the first image;

step S3505, when the current shooting environment brightness value is lower than the preset environment brightness value, adjusting a brightness enhancement gain of the first image.

Specifically, the preset environment brightness value may be a preset environment brightness value used for determining how to adjust the first image. Comparing the current shooting environment brightness value with the preset environment brightness value after the current shooting environment brightness value is obtained based on the metadata information; if the current shooting environment brightness value is higher than the preset environment brightness value, adjusting the definition gain of the first image based on the current shooting environment brightness value and the preset environment brightness value to obtain a second image; if the current shooting environment brightness value is lower than the preset environment brightness value, the brightness enhancement gain of the first image is adjusted based on the current shooting environment brightness value and the preset environment brightness value to obtain the second image, so that different adjustment modes are adopted for different current shooting environment brightness, the adjustment modes can be applicable to different shooting environments, the quality of the obtained second image is better, the image definition is guaranteed, and image distortion is reduced.

In step S370, the second image is encoded to obtain a target image.

In this embodiment, the target image is a JPEG format image.

In this embodiment, the mobile terminal further includes a video encoder, and the step of performing encoding processing on the second image to obtain the target image includes:

step S3701, performing the encoding processing on the second image by the video encoder to obtain the target image.

Specifically, after the YUV format image processed by the second image is obtained, the third processing node sends the processed YUV format image to the video encoder to perform the encoding processing on the second image, so as to obtain the JPEG format image.

By the embodiment, in the night scene mode, the exposure value of the camera is adjusted, and multiple frames of original images under different exposure values are collected by the camera; carrying out first image processing on a plurality of frames of original images to obtain a first image; acquiring metadata information of each image frame in the first image and performing second image processing on the first image based on the metadata information to obtain a second image; coding the second image to obtain a target image; wherein the original image is a Mipiraw format image, the first image and the second image are YUV format images, and the target image is a JPEG format image, so that in a night scene mode, acquiring multiple frames of original images by adjusting the exposure value of the camera of the mobile terminal and carrying out first image processing on the multiple frames of original images to obtain a first image, then obtaining a second image by obtaining metadata information of each image frame in the first image to perform second image processing on the first image based on the metadata information, so that the first image is processed differently according to the metadata information of each image frame in the first image, the processing mode can be suitable for different shooting environments, so that the quality of the obtained second image is better, the definition of the image is ensured, and the image distortion is reduced.

Fig. 4 is a schematic structural component diagram of a mobile terminal 100 according to an embodiment of the present application, where the mobile terminal 100 includes at least one camera, and the mobile terminal 100 includes: a touch panel 1071; a processor 110; the memory 109 is connected to the processor 110, the memory 109 contains a control instruction, and when the processor 110 reads the control instruction, the mobile terminal 100 is controlled to implement the following steps:

in a night scene mode, adjusting the exposure value of the camera and acquiring multiple frames of original images under different exposure values through the camera; carrying out first image processing on a plurality of frames of original images to obtain a first image; acquiring metadata information of each image frame in the first image and performing second image processing on the first image based on the metadata information to obtain a second image; coding the second image to obtain a target image; the original image is a Mipiraw format image, the first image and the second image are YUV format images, and the target image is a JPEG format image.

By the mobile terminal 100, in a night scene mode, adjusting an exposure value of the camera and acquiring multiple frames of original images under different exposure values by the camera; carrying out first image processing on a plurality of frames of original images to obtain a first image; acquiring metadata information of each image frame in the first image and performing second image processing on the first image based on the metadata information to obtain a second image; coding the second image to obtain a target image; wherein the original image is a Mipiraw format image, the first image and the second image are YUV format images, and the target image is a JPEG format image, so that in a night scene mode, acquiring multiple frames of original images by adjusting the exposure value of the camera of the mobile terminal and carrying out first image processing on the multiple frames of original images to obtain a first image, then obtaining a second image by obtaining metadata information of each image frame in the first image to perform second image processing on the first image based on the metadata information, so that the first image is processed differently according to the metadata information of each image frame in the first image, the processing mode can be suitable for different shooting environments, so that the quality of the obtained second image is better, the definition of the image is ensured, and the image distortion is reduced.

Embodiments of the present application also provide a computer-readable storage medium having one or more programs, where the one or more programs are executed by one or more processors to implement the following steps:

in a night scene mode, adjusting an exposure value of a camera of the mobile terminal and acquiring multiple frames of original images under different exposure values through the camera; carrying out first image processing on a plurality of frames of original images to obtain a first image; acquiring metadata information of each image frame in the first image and performing second image processing on the first image based on the metadata information to obtain a second image; coding the second image to obtain a target image; the original image is a Mipiraw format image, the first image and the second image are YUV format images, and the target image is a JPEG format image.

Through the computer readable storage medium, in a night scene mode, adjusting an exposure value of the camera and acquiring multiple frames of original images under different exposure values through the camera; carrying out first image processing on a plurality of frames of original images to obtain a first image; acquiring metadata information of each image frame in the first image and performing second image processing on the first image based on the metadata information to obtain a second image; coding the second image to obtain a target image; wherein the original image is a Mipiraw format image, the first image and the second image are YUV format images, and the target image is a JPEG format image, so that in a night scene mode, acquiring multiple frames of original images by adjusting the exposure value of the camera of the mobile terminal and carrying out first image processing on the multiple frames of original images to obtain a first image, then obtaining a second image by obtaining metadata information of each image frame in the first image to perform second image processing on the first image based on the metadata information, so that the first image is processed differently according to the metadata information of each image frame in the first image, the processing mode can be suitable for different shooting environments, so that the quality of the obtained second image is better, the definition of the image is ensured, and the image distortion is reduced.

The embodiment of the application also provides a computer readable storage medium. The computer-readable storage medium herein stores one or more programs. Among other things, computer-readable storage media may include volatile memory, such as random access memory; the memory may also include non-volatile memory, such as read-only memory, flash memory, a hard disk, or a solid state disk; the memory may also comprise a combination of memories of the kind described above.

The corresponding technical features in the above embodiments may be used with each other without causing contradiction in the schemes or without being implementable.

It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.

The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.

Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present application.

While the present embodiments have been described with reference to the accompanying drawings, it is to be understood that the invention is not limited to the precise embodiments described above, which are meant to be illustrative and not restrictive, and that various changes may be made therein by those skilled in the art without departing from the spirit and scope of the invention as defined by the appended claims.

Claims

1. An image processing method is applied to a mobile terminal, and is characterized in that the mobile terminal comprises at least one camera, and the image processing method comprises the following steps:

in a night scene mode, adjusting the exposure value of the camera and acquiring multiple frames of original images under different exposure values through the camera;

carrying out first image processing on a plurality of frames of original images to obtain a first image;

acquiring metadata information of each image frame in the first image and performing second image processing on the first image based on the metadata information to obtain a second image; and

coding the second image to obtain a target image;

the original image is a Mipiraw format image, the first image and the second image are YUV format images, and the target image is a JPEG format image.

2. The image processing method according to claim 1, wherein the step of performing the first image processing on a plurality of frames of the original images to obtain the first image comprises:

3. The image processing method according to claim 2, wherein the step of synthesizing a plurality of frames of the first intermediate image by a preset synthesis algorithm to obtain a second intermediate image comprises:

4. The image processing method according to claim 3, wherein the step of performing correction processing on a plurality of frames of the first intermediate image to obtain a plurality of frames of the same-angle images comprises:

5. The image processing method according to claim 2, wherein the step of performing second image processing on the first image based on the metadata information to obtain a second image comprises:

6. The image processing method according to claim 5, wherein the step of performing the second image processing on the first image according to the current shooting environment luminance value includes:

7. The image processing method according to claim 2, wherein the step of performing the preset processing on the second intermediate image comprises:

8. The image processing method according to claim 1, wherein the mobile terminal further comprises a video encoder, and the step of encoding the second image to obtain the target image comprises:

9. A mobile terminal, characterized in that the mobile terminal comprises:

a touch screen;

a processor; and

a memory connected with the processor, the memory containing control instructions, when the processor reads the control instructions, the mobile terminal is controlled to implement the image processing method according to any one of claims 1 to 8.

10. A computer-readable storage medium having one or more programs thereon, the one or more programs being executable by one or more processors to implement the image processing method of any one of claims 1 to 8.