CN107087119B - Method and device for adjusting exposure and electronic equipment - Google Patents
Method and device for adjusting exposure and electronic equipment Download PDFInfo
- Publication number
- CN107087119B CN107087119B CN201710411072.9A CN201710411072A CN107087119B CN 107087119 B CN107087119 B CN 107087119B CN 201710411072 A CN201710411072 A CN 201710411072A CN 107087119 B CN107087119 B CN 107087119B
- Authority
- CN
- China
- Prior art keywords
- image
- sub
- value
- weight
- space
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/10—Cameras or camera modules comprising electronic image sensors; Control thereof for generating image signals from different wavelengths
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/70—Circuitry for compensating brightness variation in the scene
- H04N23/71—Circuitry for evaluating the brightness variation
Landscapes
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Studio Devices (AREA)
Abstract
The embodiment of the invention provides a method and a device for adjusting photometry and electronic equipment, wherein the method comprises the following steps: calculating a first brightness value of the image in a YUV space; converting the image from an RGB space to an HSI space; determining the corresponding hue weight and saturation weight of the image in an HSI space; calculating a second brightness value of the image in a YUV space according to the hue weight and the saturation weight and the first brightness value of the image in the YUV space; and adjusting the photometric parameter of the next frame of image according to the comparison result of the second brightness value of the image in the YUV space and the target brightness. According to the method, the photometric parameter of the next frame of image is adjusted in advance before shooting, so that the brightness of the picture shot through the electronic equipment is closer to the brightness seen by naked eyes, and the user experience is improved.
Description
Technical Field
The invention relates to the field of data processing, in particular to a method and a device for adjusting photometry and electronic equipment.
Background
With the development of science and technology, people increasingly prefer to take pictures with electronic equipment such as cameras or mobile phones. However, the photographing effect of many electronic devices is not ideal at present, for example, the brightness of a picture taken by an electronic device such as a camera or a mobile phone is inconsistent with the brightness seen by naked eyes, so that the user experience is poor.
Disclosure of Invention
Embodiments of the present invention provide a method, an apparatus, and an electronic device for adjusting light metering to solve the above problems.
In order to achieve the above purpose, the embodiment of the present invention adopts the following technical solutions:
in a first aspect, an embodiment of the present invention provides a method for adjusting light metering, where the method first calculates a first brightness value of an image in a YUV space, and converts the image from an RGB space to an HSI space; determining the corresponding tone weight and saturation weight of the image in an HSI space; calculating a second brightness value of the image in a YUV space according to the hue weight and the saturation weight and the first brightness value of the image in the YUV space; and adjusting the photometric parameter of the next frame of image according to the comparison result of the second brightness value of the image in the YUV space and the target brightness.
With reference to the first aspect, in a first implementation manner of the first aspect, the image is divided into a plurality of sub-images, and RGB values of the sub-images are calculated; and respectively calculating a first brightness value of each sub-image in a YUV space according to the RGB value of each sub-image.
With reference to the first implementation manner of the first aspect, in a second implementation manner of the first aspect, the hue weight corresponding to each sub-image is determined according to the hue value corresponding to each sub-image; determining the saturation weight corresponding to each sub-image according to the saturation value corresponding to each sub-image; determining the weight corresponding to each sub-image according to the hue weight and the saturation weight corresponding to each sub-image; and calculating a second brightness value of the image in a YUV space according to the weight corresponding to each sub-image and the first brightness value of each sub-image in the YUV space.
With reference to the second implementation manner of the first aspect, in a third implementation manner of the first aspect, the present invention queries a preset weight table according to a hue value corresponding to each sub-image, and determines a hue weight corresponding to each sub-image, where the preset weight table includes weights corresponding to each preset length in a preset interval.
With reference to the second implementation manner of the first aspect, in a fourth implementation manner of the first aspect, the saturation value corresponding to each sub-image is used as the saturation weight corresponding to each sub-image.
With reference to the second implementation manner of the first aspect, in a fifth implementation manner of the first aspect, the weight corresponding to each sub-image is determined according to a product of the hue weight and the saturation weight corresponding to each sub-image.
With reference to the second implementation manner of the first aspect, in a sixth implementation manner of the first aspect, the weights corresponding to the sub-images are respectively multiplied by the corresponding first luminance values in the YUV space, and all the products are summed to obtain a first sum value; adding the weights corresponding to the sub-images to obtain a second sum; and taking the ratio of the first sum value to the second sum value as a second brightness value of the image in YUV space.
With reference to the first aspect, in a seventh implementation manner of the first aspect, if the second luminance value of the image in the YUV space is not equal to the target luminance, the photometric parameter of the next frame of image is adjusted.
With reference to the seventh implementation manner of the first aspect, in an eighth implementation manner of the first aspect, a preset exposure table is queried according to a ratio of a second brightness value of the image in a YUV space to a target brightness, and an exposure time and a sensitivity parameter of the next frame of image are adjusted according to a query result.
In a second aspect, an embodiment of the present invention provides an apparatus for adjusting photometry, including: the first calculation module is used for calculating a first brightness value of the image in a YUV space; the conversion module is used for converting the image from an RGB space to an HSI space; the second calculation module is used for determining a hue weight and a saturation weight image corresponding to the image in an HSI space; calculating a second brightness value of the image in a YUV space according to the hue weight and the saturation weight and the first brightness value of the image in the YUV space; and the adjusting module is used for adjusting the photometric parameter of the next frame of image according to the comparison result of the second brightness value of the image in the YUV space and the target brightness.
With reference to the second aspect, in a first implementation manner of the second aspect, the first calculating module is specifically configured to divide the image into a plurality of sub-images, and calculate RGB values of the sub-images; and respectively calculating a first brightness value of each sub-image in a YUV space according to the RGB value of each sub-image.
With reference to the first implementation manner of the second aspect, in a second implementation manner of the second aspect, the second calculating module is specifically configured to determine, according to a tone value corresponding to each sub-image, a tone weight corresponding to each sub-image; determining the saturation weight corresponding to each sub-image according to the saturation value corresponding to each sub-image; determining the weight corresponding to each sub-image according to the hue weight and the saturation weight corresponding to each sub-image; and calculating a second brightness value of the image in a YUV space according to the weight corresponding to each sub-image and the first brightness value of each sub-image in the YUV space.
With reference to the second implementation manner of the second aspect, in a third implementation manner of the second aspect, the second calculating module is specifically configured to query a preset weight table according to a hue value corresponding to each sub-image, and determine a hue weight corresponding to each sub-image, where the preset weight table includes weights corresponding to each preset length in a preset interval.
With reference to the second implementation manner of the second aspect, in a fourth implementation manner of the second aspect, the second calculating module is specifically configured to use the saturation value corresponding to each sub-image as the saturation weight corresponding to each sub-image.
With reference to the second implementation manner of the second aspect, in a fifth implementation manner of the second aspect, the second calculating module is specifically configured to determine the weight corresponding to each sub-image according to a product of the hue weight and the saturation weight corresponding to each sub-image.
With reference to the second implementation manner of the second aspect, in a sixth implementation manner of the second aspect, the second calculating module is specifically configured to multiply the weight corresponding to each sub-image by the corresponding first luminance value in the YUV space, and sum up all the products to obtain a first sum value; adding the weights corresponding to the sub-images to obtain a second sum; and taking the ratio of the first sum value to the second sum value as a second brightness value of the image in YUV space.
With reference to the second aspect, in a seventh implementation manner of the second aspect, the adjusting module is specifically configured to adjust the photometric parameter of the next frame image if the second luminance value of the image in the YUV space is not equal to the target luminance.
With reference to the seventh implementation manner of the second aspect, in an eighth implementation manner of the second aspect, the adjusting module is specifically configured to query a preset exposure table according to a ratio of a second brightness value of the image in the YUV space to a target brightness, and adjust the exposure time and the sensitivity parameter of the next frame of image according to a query result.
In a third aspect, an embodiment of the present invention provides an electronic device, where the electronic device includes a memory and a processor, where the memory stores a device for adjusting photometry, the device for adjusting photometry includes one or more software function modules executed by the processor, and the device for adjusting photometry includes: the first calculation module is used for calculating a first brightness value of the image in a YUV space; the conversion module is used for converting the image from an RGB space to an HSI space; the second calculation module is used for determining a hue weight and a saturation weight image corresponding to the image in an HSI space; calculating a second brightness value of the image in a YUV space according to the hue weight and the saturation weight and the first brightness value of the image in the YUV space; and the adjusting module is used for adjusting the photometric parameter of the next frame of image according to the comparison result of the second brightness value of the image in the YUV space and the target brightness.
In a fourth aspect, an embodiment of the present invention provides a computer storage medium for storing computer software instructions for the apparatus for adjusting photometry, which includes a program designed to execute the apparatus for adjusting photometry according to the above aspect.
Compared with the prior art, the method, the device and the electronic equipment for adjusting photometry provided by the embodiment of the invention have the advantages that the first brightness value of an image in a YUV space is calculated; converting the image from an RGB space to an HSI space; determining the corresponding hue weight and saturation weight of the image in an HSI space; calculating a second brightness value of the image in a YUV space according to the hue weight and the saturation weight and the first brightness value of the image in the YUV space; according to the scheme, the photometric parameter of the next frame of image is adjusted in advance before shooting, so that the brightness of a picture shot by the electronic equipment is closer to the brightness seen by naked eyes, and the user experience is improved.
In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a block diagram of an electronic device according to an embodiment of the present invention.
Fig. 2 is a flowchart of a method for adjusting light metering according to a first embodiment of the present invention.
Fig. 3 is a flowchart of step S200 in a method for adjusting photometry according to a first embodiment of the present invention.
Fig. 4 is a flowchart of step S400 in a method of adjusting photometry according to a first embodiment of the present invention.
Fig. 5 is a flowchart of step S440 in a method for adjusting photometry according to a first embodiment of the present invention.
Fig. 6 is a block diagram of an apparatus for adjusting light metering according to a second embodiment of the present invention.
Fig. 7 is a block diagram of a computing device according to a third embodiment of the present invention.
Fig. 8 is a block diagram of a storage unit storing program codes in a computing device according to a fourth embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Meanwhile, in the description of the present invention, the terms "first", "second", and the like are used only for distinguishing the description, and are not to be construed as indicating or implying relative importance.
Fig. 1 shows a block diagram of an electronic device 100 according to an embodiment of the present invention. As shown in fig. 1, the electronic device 100 includes: a Radio Frequency (RF) circuit 110, a memory 120, an input unit 130, a display unit 140, a sensor 150, an audio circuit 160, a wireless fidelity (WiFi) module 170, a processor 180, and a power supply 190. Those skilled in the art will appreciate that the configuration of electronic device 100 shown in FIG. 1 is not intended to be limiting of electronic device 100 and may include more or fewer components than shown, or some components may be combined, or a different arrangement of components.
The following describes each component of the electronic device 100 in detail with reference to fig. 1:
the RF circuit 110 may be used for receiving and transmitting signals during information transmission and reception or during a call, and in particular, receives downlink information of a base station and then processes the received downlink information to the processor 180; in addition, the data for designing uplink is transmitted to the base station. In general, the RF circuit 110 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a Low Noise Amplifier (LNA), a duplexer, and the like. In addition, the RF circuitry 110 may also communicate with networks and other devices via wireless communications. The wireless communication may use any communication standard or protocol, including but not limited to global system for Mobile communications (GSM), General Packet Radio Service (GPRS), Code Division Multiple Access (CDMA), Wideband Code Division Multiple Access (WCDMA), Long Term Evolution (LTE), email, Short Messaging Service (SMS), and the like.
The memory 120 may be used to store software programs and modules, such as program instructions/modules corresponding to the method and apparatus for adjusting light metering in the embodiment of the present invention, and the processor 180 executes various functional applications and data processing of the electronic device 100, such as the method for adjusting light metering provided in the embodiment of the present invention, by executing the software programs and modules stored in the memory 120. The memory 120 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 electronic apparatus 100, and the like. Further, the memory 120 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 input unit 130 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the electronic apparatus 100. Specifically, the input unit 130 may include a touch panel 131 and other input devices 132. The touch panel 131, also referred to as a touch screen, may collect touch operations of a user on or near the touch panel 131 (e.g., operations of the user on or near the touch panel 131 using any suitable object or accessory such as a finger or a stylus pen), and drive the corresponding connection device according to a preset program. Alternatively, the touch panel 131 may include two parts, i.e., 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 180, and can receive and execute commands sent by the processor 180. In addition, the touch panel 131 may be implemented by various types such as a resistive type, a capacitive type, an infrared ray, and a surface acoustic wave. The input unit 130 may include a fingerprint recognition module 132 and other input devices in addition to the touch panel 131. In particular, other input devices may include, but are not limited to, one or more of a physical keyboard, function keys (such as volume control keys, switch keys, etc.), a trackball, a mouse, a joystick, and the like.
The display unit 140 may be used to display information input by the user or information provided to the user and various menus of the electronic apparatus 100. The Display unit 140 may include a Display panel 141, and optionally, the Display panel 141 may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like. Further, the touch panel 131 can cover the display panel 141, and when the touch panel 131 detects a touch operation on or near the touch panel 131, the touch operation is transmitted to the processor 180 to determine the type of the touch event, and then the processor 180 performs processing according to the type of the touch event. Although in fig. 1, the touch panel 131 and the display panel 141 are two independent components to implement the input and output functions of the electronic device 100, in some embodiments, the touch panel 131 and the display panel 141 may be integrated to implement the input and output functions of the electronic device 100.
The electronic device 100 may also include at least one sensor 150, such as light sensors, motion sensors, and other sensors. Specifically, the light sensor may include an ambient light sensor that may adjust the brightness of the display panel 141 according to the brightness of ambient light, and a proximity sensor that may turn off the display panel 141 and/or the backlight when the electronic device 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), detect the magnitude and direction of gravity when stationary, and can be used for applications (such as horizontal and vertical screen switching, related games, magnetometer attitude calibration) for recognizing the attitude of the electronic device 100, and related functions (such as pedometer and tapping) for vibration recognition; as for other sensors such as a gyroscope, a barometer, a hygrometer, a thermometer, and an infrared sensor, which may be further configured to the electronic device 100, detailed descriptions thereof are omitted.
WiFi belongs to short-range wireless transmission technology, and the electronic device 100 can help the user send and receive e-mails, browse web pages, access streaming media, etc. through the WiFi module 170, which provides the user with wireless broadband internet access. Although fig. 1 shows the WiFi module 170, it is understood that it does not belong to the essential constitution of the electronic device 100, and may be omitted entirely as needed within the scope not changing the essence of the invention.
The processor 180 is a control center of the electronic device 100, connects various parts of the whole electronic device 100 by using various interfaces and lines, performs various functions of the electronic device 100 and processes data by running or executing software programs and/or modules stored in the memory 120 and calling data stored in the memory 120, thereby monitoring the electronic device 100 as a whole. Alternatively, processor 180 may include one or more processing units; preferably, the processor 180 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 180.
The electronic device 100 further includes a power supply 190 (e.g., a battery) for supplying power to the various components, and preferably, the power supply may be logically connected to the processor 180 via a power management system, so as to manage charging, discharging, and power consumption via the power management system.
It will be appreciated that the configuration shown in FIG. 1 is merely illustrative and that electronic device 100 may include more or fewer components than shown in FIG. 1 or have a different configuration than shown in FIG. 1. The components shown in fig. 1 may be implemented in hardware, software, or a combination thereof.
The method for adjusting photometry provided by the embodiment of the invention can be operated in the electronic device 100 shown in fig. 1. The method comprises the steps of calculating a first brightness value of an image in a YUV space; converting the image from an RGB space to an HSI space; determining the corresponding hue weight and saturation weight of the image in an HSI space; calculating a second brightness value of the image in a YUV space according to the hue weight and the saturation weight and the first brightness value of the image in the YUV space; according to the scheme, the photometric parameter of the next frame of image is adjusted in advance before shooting, so that the brightness of a picture shot by the electronic equipment is closer to the brightness seen by naked eyes, and the user experience is improved. The method of adjusting photometry will be described in detail below.
Fig. 2 is a flowchart illustrating a method for adjusting light metering according to a first embodiment of the present invention, and referring to fig. 2, this embodiment describes a processing flow of an electronic device, where the method includes:
step S200, calculating a first brightness value of the image in YUV space.
The image may be an image obtained from a sensor, for example, an image obtained from a sensor in bayerrraw encoding format.
There are various embodiments for calculating the first brightness value of the image in the YUV space, for example, the first brightness value of each pixel in the YUV space may be calculated directly according to the conversion formula according to the RGB value of each pixel in the image.
The conversion formula is as follows:
Yi＝0.2988R+0.5869G+0.1137B
wherein, R is the R value of the pixel point in RGB space, G is the G value of the pixel point in RGB space, B is the B value of the pixel point in RGB space, and Yi is the first brightness value of the pixel point in YUV space.
To simplify the calculation, referring to fig. 3 as an embodiment, step S200 may include:
step S210, dividing the image into a plurality of sub-images, and calculating RGB values of the sub-images.
The number of sub-images into which the image is divided may be set according to requirements, for example, the image may be divided into 64 ＊ 64 sub-images.
As an embodiment, the R value of each sub-image is the sum of R values of all pixel points included in the sub-image; the G value of each sub-image is the sum of the G values of all pixel points included in the sub-image; the B value of each sub-image is the sum of the B values of all the pixel points included in the sub-image.
Step S220, respectively calculating a first brightness value of each sub-image in a YUV space according to the RGB value of each sub-image.
The RGB value of each sub-image is obtained in step S210, and a first luminance value of each sub-image in the YUV space can be calculated according to the conversion formula.
The conversion formula is as follows:
Yi＝0.2988R+0.5869G+0.1137B
wherein, R is the R value of the sub-image in RGB space, G is the G value of the sub-image in RGB space, B is the B value of the sub-image in RGB space, and Yi is the first brightness value of the sub-image in YUV space.
And step S300, converting the image from the RGB space to the HSI space.
When the RGB value of each pixel point of the image is determined, the conversion may be performed according to a commonly used RGB-HSI formula, and one of the RGB-HSI formulas is listed below for explanation, but it should be understood that any implementation manner of converting the image from the RGB space to the HSI space belongs to the protection scope of the embodiment of the present invention.
For example, the image may be converted from an RGB space to an HSI space by the following RGB-HSI formula:
H＝H+2π,if H<0
Max＝max(R,G,B)
Min＝min(R,G,B)
wherein, R is the R value of the pixel point in RGB space, G is the G value of the pixel point in RGB space, B is the B value of the pixel point in RGB space, H is the hue value of the pixel point in HSI space, S is the saturation value of the pixel point in HSI space, and I is the brightness value of the pixel point in HSI space. It is worth mentioning that RGB in the above formula all needs to be normalized to [0, 1] interval before calculation.
Further, in order to simplify the calculation, each sub-image of the image may also be converted from RGB space to HSI space, and it can be understood that the GRB value of each sub-image is obtained in step S210, and at this time, the hue value H and the saturation value S of each sub-image can be calculated only according to the above formula.
Step S400, determining the corresponding tone weight and saturation weight of the image in the HSI space; and calculating a second brightness value of the image in a YUV space according to the hue weight and the saturation weight and the first brightness value of the image in the YUV space.
As an embodiment, referring to fig. 4, step S400 may include:
step S410, determining a hue weight corresponding to each sub-image according to the hue value corresponding to each sub-image.
As an implementation manner, according to the tone value corresponding to each sub-image, a preset weight table is queried, and the tone weight corresponding to each sub-image is determined.
The preset weight table comprises weights corresponding to each preset length in a preset interval. As an embodiment, the preset weight table may be determined according to a luminous efficiency curve. The luminous efficiency curve is a response of the human eye to a spectrum of different wavelengths, and the wavelength response to the human eye is the hue value. The preset interval is set to be [0 degrees, 360 degrees ], the preset length is 15 degrees, and each 15 degrees corresponds to a weight. Of course, it is understood that the preset length may be set smaller.
The following description will be given taking a specific example.
The foregoing is a preset weight table, each 15 ° corresponds to a weight, and after the hue value corresponding to each sub-image is determined, the hue weight corresponding to each sub-image can be determined by querying the preset weight table, for example, if the hue value corresponding to sub-image 1 is 45 degrees, the weight corresponding to sub-image 1 is 0.66.
Step S420, determining saturation weights corresponding to the sub-images according to the saturation values corresponding to the sub-images.
In one embodiment, the saturation value corresponding to each sub-image is used as the saturation weight corresponding to each sub-image.
Step S430, determining the weight corresponding to each sub-image according to the hue weight and the saturation weight corresponding to each sub-image.
In one embodiment, the weight corresponding to each sub-image is determined according to a product of the hue weight and the saturation weight corresponding to each sub-image.
As a specific embodiment, the calculation can be performed according to the following formula:
HSi＝(1+Hi＊Si)
among them, HSiIs the ith sub-diagramImage corresponding weight, HiFor the tone weight corresponding to the ith sub-image, SiAnd the saturation weight corresponding to the ith sub-image is obtained.
Step S440, calculating a second brightness value of the image in a YUV space according to the weight corresponding to each sub-image and the first brightness value of each sub-image in the YUV space.
As an embodiment, referring to fig. 5, step S440 may include:
step S441, the weights corresponding to the sub-images are multiplied by the corresponding first luminance values in the YUV space, and all the products are summed to obtain a first sum value.
As a specific embodiment, the calculation can be performed according to the following formula:
SUM1＝∑Yi＊HSi
where SUM1 is the first SUM, YiFor the first luminance value, HS, of the ith sub-image in YUV spaceiThe weight corresponding to the ith sub-image.
Step S442, adding the weights corresponding to the sub-images to obtain a second sum.
As a specific embodiment, the calculation can be performed according to the following formula:
SUM2＝∑HSi
where SUM2 is the second SUM, HSiThe weight corresponding to the ith sub-image.
Step S443, using a ratio of the first sum to the second sum as a second luminance value of the image in the YUV space.
As a specific embodiment, the calculation can be performed according to the following formula:
Y’＝SUM1/SUM2＝(∑Yi＊HSi)/∑HSi
wherein Y' is the second brightness value of the image in YUV space, SUM1 is the first SUM, SUM2 is the second SUM, YiFor the first luminance value, HS, of the ith sub-image in YUV spaceiThe weight corresponding to the ith sub-image.
And S500, adjusting the photometric parameter of the next frame of image according to the comparison result of the second brightness value of the image in the YUV space and the target brightness.
In an embodiment, if the second luminance value of the image in the YUV space is not equal to the target luminance, the photometric parameter of the next frame image is adjusted. And if the second brightness value of the image in the YUV space is equal to the target brightness, the photometric parameter of the next frame of image is not adjusted.
Further, as a specific implementation manner, according to a ratio of a second brightness value of the image in the YUV space to a target brightness, a preset exposure table is queried, and according to a query result, an exposure time and a sensitivity parameter of the next frame of image are adjusted.
The preset exposure table comprises a numerical value and photometric parameter mapping table. The value corresponds to a ratio of a second luminance value of the image in YUV space to a target luminance, and the photometric parameters may include, but are not limited to, exposure time and sensitivity parameters. And after the ratio of the second brightness value of the image in the YUV space to the target brightness is determined, acquiring the exposure time and the sensitivity parameter corresponding to the ratio by inquiring a preset exposure table.
The method for adjusting photometry provided by the embodiment of the invention calculates a first brightness value of an image in a YUV space; converting the image from an RGB space to an HSI space; determining the corresponding hue weight and saturation weight of the image in an HSI space; calculating a second brightness value of the image in a YUV space according to the hue weight and the saturation weight and the first brightness value of the image in the YUV space; according to the scheme, the photometric parameter of the next frame of image is adjusted in advance before shooting, so that the brightness of a picture shot by the electronic equipment is closer to the brightness seen by naked eyes, and the user experience is improved.
Fig. 6 is a functional block diagram of an apparatus 600 for adjusting light metering according to a second embodiment of the present invention. The device 600 for adjusting photometry is operated in the electronic apparatus 100. The apparatus 600 for adjusting photometry includes a first calculating module 610, a converting module 620, a second calculating module 630, and an adjusting module 640.
The first calculating module 610 is configured to calculate a first luminance value of the image in the YUV space.
As an embodiment, the first calculating module 610 is specifically configured to divide the image into a plurality of sub-images, and calculate RGB values of the sub-images; and respectively calculating a first brightness value of each sub-image in a YUV space according to the RGB value of each sub-image.
A conversion module 620, configured to convert the image from an RGB space to an HSI space.
A second calculating module 630, configured to determine a hue weight and a saturation weight image corresponding to the image in the HSI space; and calculating a second brightness value of the image in a YUV space according to the hue weight and the saturation weight and the first brightness value of the image in the YUV space.
As an embodiment, the second calculating module 630 is specifically configured to determine a hue weight corresponding to each sub-image according to a hue value corresponding to each sub-image; determining saturation weight corresponding to each sub-image according to the saturation value corresponding to each sub-image; determining the weight corresponding to each sub-image according to the hue weight and the saturation weight corresponding to each sub-image; and calculating a second brightness value of the image in a YUV space according to the weight corresponding to each sub-image and the first brightness value of each sub-image in the YUV space.
As an implementation manner, the second calculating module 630 is specifically configured to query a preset weight table according to a hue value corresponding to each sub-image, and determine a hue weight corresponding to each sub-image, where the preset weight table includes weights corresponding to each preset length in a preset interval.
As an embodiment, the second calculating module 630 is specifically configured to use the saturation value corresponding to each sub-image as the saturation weight corresponding to each sub-image.
As an embodiment, the second calculating module 630 is specifically configured to determine the weight corresponding to each sub-image according to a product of the hue weight and the saturation weight corresponding to each sub-image.
As an embodiment, the second calculating module 630 is specifically configured to multiply the weight corresponding to each sub-image by the corresponding first luminance value in the YUV space, and sum all the products to obtain a first sum; adding the weights corresponding to the sub-images to obtain a second sum; and taking the ratio of the first sum value to the second sum value as a second brightness value of the image in YUV space.
The adjusting module 640 is configured to adjust a photometric parameter of a next frame of image according to a comparison result between a second brightness value of the image in the YUV space and the target brightness.
As an embodiment, the adjusting module 640 is specifically configured to adjust a photometric parameter of a next frame image if a second luminance value of the image in the YUV space is not equal to the target luminance.
As an embodiment, the adjusting module 640 is specifically configured to query a preset exposure table according to a ratio of a second brightness value of the image in the YUV space to a target brightness, and adjust the exposure time and the sensitivity parameter of the next frame of image according to a query result.
The above modules may be implemented by software codes, and in this case, the modules may be stored in the memory 120 of the electronic device 100. The above modules may also be implemented by hardware, such as an integrated circuit chip.
A third embodiment of the present invention provides an electronic device, including a memory and a processor, where the memory stores a device for adjusting photometry, the device for adjusting photometry includes one or more software function modules executed by the processor, and the device for adjusting photometry includes:
the first calculation module is used for calculating a first brightness value of the image in a YUV space;
the conversion module is used for converting the image from an RGB space to an HSI space;
the second calculation module is used for determining a hue weight and a saturation weight image corresponding to the image in an HSI space; calculating a second brightness value of the image in a YUV space according to the hue weight and the saturation weight and the first brightness value of the image in the YUV space;
and the adjusting module is used for adjusting the photometric parameter of the next frame of image according to the comparison result of the second brightness value of the image in the YUV space and the target brightness.
It should be noted that, in the present specification, the embodiments are all described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments may be referred to each other.
The principle of implementation and the technical effects produced by the apparatus and the electronic device for adjusting light measurement provided by the embodiment of the present invention are the same as those of the method embodiment described above, and for brief description, reference may be made to corresponding contents in the method embodiment described above where no mention is made in the embodiment of the apparatus.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
It will be understood by those skilled in the art that all or part of the steps in the method for implementing the above embodiments may be implemented by hardware that is instructed to implement by a program, and the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
FIG. 7 illustrates a computing device that may implement an information processing method according to the present invention. The computing device conventionally includes a processor 710 and a computer program product or computer-readable medium in the form of a storage device 720. The storage device 720 may be an electronic memory such as a flash memory, an EEPROM (electrically erasable programmable read only memory), an EPROM, a hard disk, or a ROM. The memory device 720 has a memory space 730 for storing program code 731 for performing any of the method steps of the above-described method. For example, the storage space 730 storing the program codes may include the respective program codes 731 for respectively implementing the various steps in the above method. The program code can be read from or written to one or more computer program products. These computer program products comprise a program code carrier such as a hard disk, a Compact Disc (CD), a memory card or a floppy disk. Such a computer program product is typically a portable or fixed storage unit as shown for example in fig. 8. The storage unit may have storage segments, storage spaces, etc. arranged similarly to storage device 720 in the computing device of fig. 7. The program code may be compressed, for example, in a suitable form. Typically, the storage unit comprises computer readable code 731', i.e. code that can be read by a processor such as 710, for performing the steps of the method according to the invention, which when run by a computing device causes the computing device to perform the steps of the method described above.
The embodiment of the invention also discloses:
a1, a method for adjusting photometry, the method comprising:
calculating a first brightness value of the image in a YUV space;
converting the image from an RGB space to an HSI space;
determining the corresponding hue weight and saturation weight of the image in an HSI space;
calculating a second brightness value of the image in a YUV space according to the hue weight and the saturation weight and the first brightness value of the image in the YUV space;
and adjusting the photometric parameter of the next frame of image according to the comparison result of the second brightness value of the image in the YUV space and the target brightness.
A2, the method according to A1, the calculating a first luminance value of an image in YUV space, comprising:
dividing the image into a plurality of sub-images, and calculating the RGB value of each sub-image;
and respectively calculating a first brightness value of each sub-image in a YUV space according to the RGB value of each sub-image.
A3, according to the method in A2, the determining a hue weight and a saturation weight of the image in HSI space, and calculating a second brightness value of the image in YUV space according to the hue weight and the saturation weight and a first brightness value of the image in YUV space, includes:
determining the tone weight corresponding to each sub-image according to the tone value corresponding to each sub-image;
determining saturation weight corresponding to each sub-image according to the saturation value corresponding to each sub-image;
determining the weight corresponding to each sub-image according to the hue weight and the saturation weight corresponding to each sub-image;
and calculating a second brightness value of the image in a YUV space according to the weight corresponding to each sub-image and the first brightness value of each sub-image in the YUV space.
A4, according to the method in A3, the determining the hue weight corresponding to each sub-image according to the hue value corresponding to each sub-image includes:
and inquiring a preset weight table according to the tone value corresponding to each sub-image, and determining the tone weight corresponding to each sub-image, wherein the preset weight table comprises weights corresponding to each preset length in a preset interval.
A5, according to the method in A3, determining the saturation weight corresponding to each sub-image according to the saturation value corresponding to each sub-image, including:
and taking the saturation value corresponding to each sub-image as the saturation weight corresponding to each sub-image.
A6, determining the weight corresponding to each sub-image according to the hue weight and the saturation weight corresponding to each sub-image according to the method described in A3, including:
and determining the weight corresponding to each sub-image according to the product of the hue weight and the saturation weight corresponding to each sub-image.
A7, according to the method in A3, the calculating a second luminance value of the image in YUV space according to the weight corresponding to each sub-image and the first luminance value of each sub-image in YUV space includes:
respectively multiplying the weight corresponding to each sub-image with the corresponding first brightness value in the YUV space, and summing all the products to obtain a first sum value;
adding the weights corresponding to the sub-images to obtain a second sum;
and taking the ratio of the first sum value to the second sum value as a second brightness value of the image in YUV space.
A8, according to the method in A1, the adjusting the photometric parameter of the next frame image according to the comparison result of the second brightness value of the image in YUV space and the target brightness comprises:
and if the second brightness value of the image in the YUV space is not equal to the target brightness, adjusting the photometric parameter of the next frame of image.
A9, according to the method in A8, the adjusting the photometric parameter of the next frame image according to the comparison result of the second brightness value of the image in YUV space and the target brightness comprises:
and inquiring a preset exposure table according to the ratio of the second brightness value of the image in the YUV space to the target brightness, and adjusting the exposure time and the sensitivity parameter of the next frame of image according to the inquiry result.
B1, an apparatus for adjusting photometry, the apparatus comprising:
the first calculation module is used for calculating a first brightness value of the image in a YUV space;
the conversion module is used for converting the image from an RGB space to an HSI space;
the second calculation module is used for determining a hue weight and a saturation weight image corresponding to the image in an HSI space; calculating a second brightness value of the image in a YUV space according to the hue weight and the saturation weight and the first brightness value of the image in the YUV space;
and the adjusting module is used for adjusting the photometric parameter of the next frame of image according to the comparison result of the second brightness value of the image in the YUV space and the target brightness.
B2, the apparatus according to B1, wherein the first calculating module is specifically configured to divide the image into a plurality of sub-images, and calculate RGB values of the sub-images; and respectively calculating a first brightness value of each sub-image in a YUV space according to the RGB value of each sub-image.
B3, the apparatus according to B2, the second calculating module is specifically configured to determine the hue weight corresponding to each sub-image according to the hue value corresponding to each sub-image; determining saturation weight corresponding to each sub-image according to the saturation value corresponding to each sub-image; determining the weight corresponding to each sub-image according to the hue weight and the saturation weight corresponding to each sub-image; and calculating a second brightness value of the image in a YUV space according to the weight corresponding to each sub-image and the first brightness value of each sub-image in the YUV space.
B4, the apparatus according to B3, and the second calculating module are specifically configured to query a preset weight table according to the hue value corresponding to each sub-image, and determine the hue weight corresponding to each sub-image, where the preset weight table includes weights corresponding to each preset length in a preset interval.
B5, the apparatus according to B3, the second calculating module is specifically configured to use the saturation value corresponding to each sub-image as the saturation weight corresponding to each sub-image.
B6, the apparatus according to B3, and the second calculating module are specifically configured to determine the weight corresponding to each sub-image according to the product of the hue weight and the saturation weight corresponding to each sub-image.
B7, the apparatus according to B3, the second calculating module is specifically configured to multiply the weight corresponding to each sub-image with the corresponding first luminance value in YUV space, and sum up all the products to obtain a first sum value; adding the weights corresponding to the sub-images to obtain a second sum; and taking the ratio of the first sum value to the second sum value as a second brightness value of the image in YUV space.
B8, the device according to B1, and the adjusting module are specifically configured to adjust the photometric parameter of the next frame image if the second luminance value of the image in the YUV space is not equal to the target luminance.
B9, the device according to B8, and the adjusting module are specifically configured to query a preset exposure table according to a ratio of a second brightness value of the image in the YUV space to a target brightness, and adjust the exposure time and the sensitivity parameter of the next frame of image according to a query result.
C1, an electronic device comprising a memory and a processor, the memory having stored therein a means for adjusting light metering, the means for adjusting light metering comprising one or more software function modules executed by the processor, the means for adjusting light metering comprising:
the first calculation module is used for calculating a first brightness value of the image in a YUV space;
the conversion module is used for converting the image from an RGB space to an HSI space;
the second calculation module is used for determining a hue weight and a saturation weight image corresponding to the image in an HSI space; calculating a second brightness value of the image in a YUV space according to the hue weight and the saturation weight and the first brightness value of the image in the YUV space;
and the adjusting module is used for adjusting the photometric parameter of the next frame of image according to the comparison result of the second brightness value of the image in the YUV space and the target brightness.
Claims (13)
1. A method of adjusting exposure, the method comprising:
dividing an image into a plurality of sub-images, and calculating the RGB value of each sub-image;
respectively calculating a first brightness value of each sub-image in a YUV space according to the RGB value of each sub-image;
converting the image from an RGB space to an HSI space;
determining the tone weight corresponding to each sub-image according to the tone value corresponding to each sub-image;
determining saturation weight corresponding to each sub-image according to the saturation value corresponding to each sub-image;
determining the weight corresponding to each sub-image according to the hue weight and the saturation weight corresponding to each sub-image;
respectively multiplying the weight corresponding to each sub-image with the corresponding first brightness value in the YUV space, and summing all the products to obtain a first sum value;
adding the weights corresponding to the sub-images to obtain a second sum;
taking the ratio of the first sum value to the second sum value as a second brightness value of the image in YUV space;
and adjusting the exposure parameter of the next frame of image according to the comparison result of the second brightness value of the image in the YUV space and the target brightness.
2. The method of claim 1, wherein determining the hue weight corresponding to each of the sub-images according to the hue value corresponding to each of the sub-images comprises:
and inquiring a preset weight table according to the tone value corresponding to each sub-image, and determining the tone weight corresponding to each sub-image, wherein the preset weight table comprises weights corresponding to each preset length in a preset interval.
3. The method of claim 1, wherein determining the saturation weight for each sub-image according to the saturation value for each sub-image comprises:
and taking the saturation value corresponding to each sub-image as the saturation weight corresponding to each sub-image.
4. The method of claim 1, wherein determining the weight for each sub-image according to the hue weight and saturation weight for each sub-image comprises:
and determining the weight corresponding to each sub-image according to the product of the hue weight and the saturation weight corresponding to each sub-image.
5. The method of claim 1, wherein adjusting the exposure parameter of the next frame of image according to the comparison result between the second luminance value of the image in the YUV space and the target luminance comprises:
and if the second brightness value of the image in the YUV space is not equal to the target brightness, adjusting the exposure parameter of the next frame of image.
6. The method of claim 5, wherein adjusting the exposure parameter of the next frame of image according to the comparison result between the second luminance value of the image in YUV space and the target luminance comprises:
and inquiring a preset exposure table according to the ratio of the second brightness value of the image in the YUV space to the target brightness, and adjusting the exposure time and the sensitivity parameter of the next frame of image according to the inquiry result.
7. An apparatus for adjusting exposure, the apparatus comprising:
the first calculation module is used for dividing an image into a plurality of sub-images and calculating the RGB value of each sub-image; respectively calculating a first brightness value of each sub-image in a YUV space according to the RGB value of each sub-image;
the conversion module is used for converting the image from an RGB space to an HSI space;
the second calculation module is used for determining the tone weight corresponding to each sub-image according to the tone value corresponding to each sub-image; determining saturation weight corresponding to each sub-image according to the saturation value corresponding to each sub-image; determining the weight corresponding to each sub-image according to the hue weight and the saturation weight corresponding to each sub-image; respectively multiplying the weight corresponding to each sub-image with the corresponding first brightness value in the YUV space, and summing all the products to obtain a first sum value; adding the weights corresponding to the sub-images to obtain a second sum; taking the ratio of the first sum value to the second sum value as a second brightness value of the image in YUV space;
and the adjusting module is used for adjusting the exposure parameter of the next frame of image according to the comparison result of the second brightness value of the image in the YUV space and the target brightness.
8. The apparatus according to claim 7, wherein the second calculating module is specifically configured to query a preset weight table according to the hue value corresponding to each sub-image, and determine the hue weight corresponding to each sub-image, where the preset weight table includes weights corresponding to each preset length in a preset interval.
9. The apparatus according to claim 7, wherein the second calculating module is specifically configured to use the saturation value corresponding to each of the sub-images as the saturation weight corresponding to each of the sub-images.
10. The apparatus according to claim 7, wherein the second calculating module is specifically configured to determine the weight corresponding to each sub-image according to a product of the hue weight and the saturation weight corresponding to each sub-image.
11. The apparatus according to claim 7, wherein the adjusting module is specifically configured to adjust the exposure parameter of the next frame image if the second luminance value of the image in the YUV space is not equal to the target luminance.
12. The apparatus according to claim 11, wherein the adjusting module is specifically configured to query a preset exposure table according to a ratio of a second luminance value of the image in the YUV space to a target luminance, and adjust the exposure time and the sensitivity parameter of the next frame of image according to a query result.
13. An electronic device comprising means for adjusting exposure, the means comprising:
the first calculation module is used for dividing an image into a plurality of sub-images and calculating the RGB value of each sub-image; respectively calculating a first brightness value of each sub-image in a YUV space according to the RGB value of each sub-image;
the conversion module is used for converting the image from an RGB space to an HSI space;
the second calculation module is used for determining the tone weight corresponding to each sub-image according to the tone value corresponding to each sub-image; determining saturation weight corresponding to each sub-image according to the saturation value corresponding to each sub-image; determining the weight corresponding to each sub-image according to the hue weight and the saturation weight corresponding to each sub-image; respectively multiplying the weight corresponding to each sub-image with the corresponding first brightness value in the YUV space, and summing all the products to obtain a first sum value; adding the weights corresponding to the sub-images to obtain a second sum; taking the ratio of the first sum value to the second sum value as a second brightness value of the image in YUV space;
and the adjusting module is used for adjusting the exposure parameter of the next frame of image according to the comparison result of the second brightness value of the image in the YUV space and the target brightness.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710411072.9A CN107087119B (en) | 2017-06-02 | 2017-06-02 | Method and device for adjusting exposure and electronic equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710411072.9A CN107087119B (en) | 2017-06-02 | 2017-06-02 | Method and device for adjusting exposure and electronic equipment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN107087119A CN107087119A (en) | 2017-08-22 |
| CN107087119B true CN107087119B (en) | 2020-06-26 |
Family
ID=59608563
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710411072.9A Active CN107087119B (en) | 2017-06-02 | 2017-06-02 | Method and device for adjusting exposure and electronic equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107087119B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20190199900A1 (en) * | 2017-12-22 | 2019-06-27 | Lumileds Holding B.V. | Variable field of view test platform |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102780889A (en) * | 2011-05-13 | 2012-11-14 | 中兴通讯股份有限公司 | Video image processing method, device and equipment |
| CN103096120A (en) * | 2011-10-28 | 2013-05-08 | 浙江大华技术股份有限公司 | Video image abnormal state detecting method and device |
| CN104994274A (en) * | 2015-06-16 | 2015-10-21 | 惠州Tcl移动通信有限公司 | Rapid photographing method based on mobile terminal and mobile terminal |
| CN105227805A (en) * | 2015-09-28 | 2016-01-06 | 广东欧珀移动通信有限公司 | A kind of image processing method and mobile terminal |
| CN105225647A (en) * | 2015-10-15 | 2016-01-06 | 小米科技有限责任公司 | Luminance regulating method and device |
| JP2016146524A (en) * | 2015-02-06 | 2016-08-12 | セイコーエプソン株式会社 | Signal adjustment device, display divice, and signal adjustment method |
| CN106296746A (en) * | 2015-06-26 | 2017-01-04 | 联发科技股份有限公司 | Image processing method and image processor |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TWI334310B (en) * | 2006-03-08 | 2010-12-01 | Marketech Int Corp | Apparatus and method for adjusting saturation of image |
-
2017
- 2017-06-02 CN CN201710411072.9A patent/CN107087119B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102780889A (en) * | 2011-05-13 | 2012-11-14 | 中兴通讯股份有限公司 | Video image processing method, device and equipment |
| CN103096120A (en) * | 2011-10-28 | 2013-05-08 | 浙江大华技术股份有限公司 | Video image abnormal state detecting method and device |
| JP2016146524A (en) * | 2015-02-06 | 2016-08-12 | セイコーエプソン株式会社 | Signal adjustment device, display divice, and signal adjustment method |
| CN104994274A (en) * | 2015-06-16 | 2015-10-21 | 惠州Tcl移动通信有限公司 | Rapid photographing method based on mobile terminal and mobile terminal |
| CN106296746A (en) * | 2015-06-26 | 2017-01-04 | 联发科技股份有限公司 | Image processing method and image processor |
| CN105227805A (en) * | 2015-09-28 | 2016-01-06 | 广东欧珀移动通信有限公司 | A kind of image processing method and mobile terminal |
| CN105225647A (en) * | 2015-10-15 | 2016-01-06 | 小米科技有限责任公司 | Luminance regulating method and device |
Non-Patent Citations (1)
| Title |
|---|
| 基于HSI色彩空间的低照度图像增强算法;宋瑞霞等;《图学学报》;20170430;全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN107087119A (en) | 2017-08-22 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110021256B (en) | Display brightness adjusting method and related product | |
| US11363196B2 (en) | Image selection method and related product | |
| CN107948748B (en) | Method, device, mobile terminal and computer storage medium for recommending videos | |
| CN107846583B (en) | Image shadow compensation method and mobile terminal | |
| CN108512625B (en) | Anti-interference method for camera, mobile terminal and storage medium | |
| CN108984066B (en) | Application icon display method and mobile terminal | |
| CN106445596B (en) | Method and device for managing setting items | |
| CN108108137B (en) | Display control method and related product | |
| CN108200421B (en) | White balance processing method, terminal and computer readable storage medium | |
| CN111294625B (en) | Method, device, terminal equipment and storage medium for combining equipment service capability | |
| JP6862564B2 (en) | Methods, devices and non-volatile computer-readable media for image composition | |
| CN108718389B (en) | Shooting mode selection method and mobile terminal | |
| CN109521937B (en) | Screen display control method and mobile terminal | |
| CN108549660B (en) | Information pushing method and device | |
| CN110052024B (en) | Game vibration adjusting method, adjusting device, mobile terminal and storage medium | |
| CN109348212B (en) | Image noise determination method and terminal equipment | |
| CN108877733B (en) | Color temperature adjusting method and related device | |
| CN110168599B (en) | Data processing method and terminal | |
| CN108306817B (en) | Information positioning processing method and mobile terminal | |
| CN107087119B (en) | Method and device for adjusting exposure and electronic equipment | |
| CN110536067B (en) | Image processing method, image processing device, terminal equipment and computer readable storage medium | |
| CN107835336B (en) | Dual-camera frame synchronization method and device, user terminal and storage medium | |
| CN109922256B (en) | Shooting method and terminal equipment | |
| CN109450508B (en) | Antenna determination method and device and mobile terminal | |
| CN111343321A (en) | Backlight brightness adjusting method and related product |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |