WO2021159414A1

WO2021159414A1 - White balance control method and apparatus, electronic device and computer-readable storage medium

Info

Publication number: WO2021159414A1
Application number: PCT/CN2020/075142
Authority: WO
Inventors: 杨超
Original assignee: 深圳元戎启行科技有限公司
Priority date: 2020-02-13
Filing date: 2020-02-13
Publication date: 2021-08-19
Also published as: CN113545033A

Abstract

The present application relates to a white balance control method and apparatus, an electronic device, and a computer-readable storage medium, and is applied to an electronic device. The electronic device comprises an image sensor. The method comprises: (step 202) using the image sensor to collect a first image, the image sensor having a built-in first gain parameter; (step 204) acquiring an image gain parameter corresponding to the first image; and (step 206) acquiring a second gain parameter according to the first gain parameter and the image gain parameter, wherein the second gain parameter is used for being built into the image sensor so that the image sensor acquires a second image, and the second image and the first image are two images consecutively collected by the image sensor.

Description

White balance control method, device, electronic equipment and computer readable storage medium

Technical field

This application relates to the field of image processing, and in particular to a white balance control method, device, electronic equipment, and computer-readable storage medium.

Background technique

With the development of camera technology, the white balance setting of the camera equipment is an important guarantee to ensure the ideal picture color. White balance is a calculation method of digital image color processing that restores the color of the white subject to accurately restore the color of other objects. That is, when shooting a white object, a white image is obtained, and the camera outputs red, green, and blue signals that are equal to white balance.

At present, image sensors often use multi-frame or multi-pixel synthesis. When the actual value of one of the pixels exceeds the range value, the white balance processing will cause the RGB imbalance of the image, and the image is prone to color cast.

Summary of the invention

Based on this, it is necessary to provide a white balance control method, device, electronic device, and computer-readable storage medium that can alleviate the problem of color cast in imaging.

A white balance control method is applied to an electronic device, the electronic device includes an image sensor, and the method includes:

Acquiring a first image by using the image sensor, and the image sensor has a built-in first gain parameter;

Acquiring an image gain parameter corresponding to the first image;

A second gain parameter is obtained according to the first gain parameter and the image gain parameter, and the second gain parameter is used to be built in the image sensor so that the image sensor obtains a second image, the second image And the first image are two images continuously collected by the image sensor.

A white balance control device is applied to an electronic device, the electronic device includes an image sensor, and the device includes:

An acquisition module, configured to acquire a first image by using the image sensor, and the image sensor has a built-in first gain parameter;

The first acquiring module is configured to acquire the image gain parameter corresponding to the first image;

The second acquisition module is configured to acquire a second gain parameter according to the first gain parameter and the image gain parameter, and the second gain parameter is used to be built in the image sensor so that the image sensor acquires the second gain parameter. Images, the second image and the first image are two images continuously collected by the image sensor.

An electronic device includes a memory and a processor, and a computer program is stored in the memory. When the computer program is executed by the processor, the processor executes the steps of the white balance control method.

A computer-readable storage medium having a computer program stored thereon, wherein the computer program implements the steps of the method when the computer program is executed by a processor.

The above-mentioned white balance control method, device, electronic equipment, and computer-readable storage medium are applied to electronic equipment. The electronic equipment includes an image sensor. The method includes: using the image sensor to collect a first image, and the image sensor is There is a first gain parameter; the image gain parameter corresponding to the first image is obtained; the second gain parameter is obtained according to the first gain parameter and the image gain parameter, and the second gain parameter is used to be built into the image In the sensor, the image sensor acquires a second image, and the second image and the first image are two images continuously collected by the image sensor. In this application, a first gain parameter is built in the image sensor, and then a first image of the current scene is acquired based on the first gain parameter, and the first image is analyzed to obtain the image gain parameter, and the first gain parameter and the image gain parameter are used To the second gain parameter, and update the first gain parameter in the image sensor to the second gain parameter to collect the next image. This application obtains the second gain parameter through the first gain parameter built in the image sensor and the image gain parameter of the current scene. The second gain parameter is updated in the image sensor, and the number of pixel bits is limited to ensure that each The actual maximum value of the R, G, and B pixels are all less than the maximum value of the full scale of the pixel, and can make the R pixel, G pixel and B pixel after the white balance processing of the electronic device are all within the full scale, alleviating the deviation of the highlight part of the image Color problem.

Description of the drawings

In order to explain the embodiments of the present invention or the technical solutions in the prior art more clearly, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only These are some embodiments of the present invention. For those of ordinary skill in the art, without creative work, the drawings of other embodiments can also be obtained based on these drawings.

FIG. 1 is a schematic diagram of an application environment of a white balance control method in an embodiment;

Figure 2 is a flowchart of a white balance control method in an embodiment;

FIG. 3 is a flowchart of obtaining a second gain parameter according to the first gain parameter and the image gain parameter in one embodiment;

4 is a flowchart of obtaining a second gain parameter according to the first gain parameter and the image gain parameter in another embodiment;

FIG. 5 is a flowchart of steps in an embodiment of obtaining the image gain parameter corresponding to the first image;

Fig. 6 is a structural block diagram of a white balance control device in an embodiment;

Fig. 7 is a schematic diagram of the internal structure of an electronic device in an embodiment.

Detailed ways

In order to facilitate the understanding of the present invention, the present invention will be described more fully below with reference to the relevant drawings. The preferred embodiments of the present invention are shown in the drawings. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. On the contrary, the purpose of providing these embodiments is to make the understanding of the disclosure of the present invention more thorough and comprehensive.

It can be understood that the terms "first", "second", etc. used in this application can be used herein to describe various elements, but these elements are not limited by these terms. These terms are only used to distinguish the first element from another element. For example, without departing from the scope of the present application, the first image may be referred to as the second image, and similarly, the second image may be referred to as the first image. Both the first image and the second image are images, but they are not the same image.

Fig. 1 is a schematic diagram of an application environment of a white balance control method in an embodiment. As shown in FIG. 1, the application environment includes an electronic device 10, and the electronic device 10 includes an image sensor 110. The electronic device 10 acquires the first image by using the image sensor 110, the image sensor 110 has a built-in first gain parameter; acquires the image gain parameter corresponding to the first image; acquires the second gain parameter according to the first gain parameter and the image gain parameter, and the second gain parameter The gain parameter is used to be built into the image sensor 110 so that the image sensor 110 obtains a second image, and the second image and the first image are two images continuously collected by the image sensor. This application obtains the second gain parameter through the first gain parameter built in the image sensor and the image gain parameter of the current scene. The second gain parameter is updated in the image sensor, and the number of pixel bits is limited to ensure that each The actual maximum value of the R, G, and B pixels are all less than the maximum value of the full scale of the pixel, and can make the R pixel, G pixel and B pixel after the white balance processing of the electronic device are all within the full scale, alleviating the deviation of the highlight part of the image Color problem. For example, the full scale of one pixel of the image sensor is 20bit, but the actual maximum output is less than 20bit, such as 19.5bit. In the white balance process, the R pixel and the B pixel are each multiplied by a gain to increase the R pixel and the B pixel, which may cause the R pixel and the B pixel to exceed 19.5 bits. The R pixel and B pixel exceeding the full scale will cause RGB imbalance, and the R pixel and B pixel have higher brightness, which makes the highlight part appear color cast.

Fig. 2 is a flowchart of a white balance control method in an embodiment. The white balance control method in this embodiment is described by taking the electronic device in FIG. 1 as an example. The electronic device includes an image sensor. As shown in FIG. 2, the white balance control method includes step 202 to step 206. Among them, step 202, using an image sensor to collect a first image, the image sensor has a built-in first gain parameter; step 204, acquiring an image gain parameter corresponding to the first image; step 206, acquiring a second image according to the first gain parameter and the image gain parameter The gain parameter, the second gain parameter is used to be built into the image sensor to enable the image sensor to obtain a second image, and the second image and the first image are two images continuously collected by the image sensor.

Specifically, before using the image sensor to collect the first image, the first gain parameter may be set first, and the first gain parameter may include: the first R gain, the first G gain, and the first B gain. In one of the embodiments, before the first image is captured by the image sensor, the first R gain, the first G gain, and the first B gain in the image sensor are all configured to be 1. Then, the first image of the current scene is collected by using the image sensor set with the first gain parameter, and the first image may be a grayscale image or a visible light image. Use the white balance gain algorithm to analyze the gray information of the R channel, the G channel and the B channel and the second gain parameter in the first image. The second gain parameter includes: the second R gain, the second G gain, and the second B gain. It may only include any two of the second R gain, the second G gain, and the second B gain. Obtaining the second gain parameter according to the first gain parameter and the image gain parameter refers to obtaining the second R gain according to the first R gain in the first gain parameter and the image R gain in the image gain parameter; Obtain the second G gain according to the first G gain in the first gain parameter and the image G gain in the image gain parameter; obtain the second B gain according to the first B gain in the first gain parameter and the image B gain in the image gain parameter. Update the acquired second gain parameter to the image sensor so that the image sensor acquires the second image acquired by the current scene, the second image and the first image are two images continuously collected by the image sensor, and the second image is the white balance gain In the corrected image, the color cast in the highlight part of the second image has been corrected to alleviate the color cast in the highlight part of the image.

In the above white balance control method, the first gain parameter is built in the image sensor, and then the first image of the current scene is acquired based on the first gain parameter, and the first image is analyzed to obtain the image gain parameter, and the first gain parameter and the image gain are used. The second gain parameter of the parameter is reached, and the first gain parameter in the image sensor is updated to the second gain parameter to acquire the next image. This application obtains the second gain parameter through the first gain parameter built in the image sensor and the image gain parameter of the current scene. The second gain parameter is updated in the image sensor, and the number of pixel bits is limited to ensure that each The actual maximum value of the R, G, and B pixels are all less than the maximum value of the full scale of the pixel, and can make the R pixel, G pixel and B pixel after the white balance processing of the electronic device are all within the full scale, alleviating the deviation of the highlight part of the image Color problem.

In one of the embodiments, the step of obtaining the image gain parameter corresponding to the first image includes: obtaining the image gain parameter according to the gray information of the first image, where the image gain parameter includes: image R gain and image B gain.

Specifically, the white balance gain algorithm is used to analyze the gray information of the R channel and the B channel in the first image and the second gain parameter, and the second gain parameter includes: the image R gain and the image B gain. Among them, the image G gain is set to a constant value such as 0.9, 1, 1.1, etc. In this embodiment, there is no need to obtain the image G gain in the image gain parameter, which reduces the computational complexity of the white balance gain algorithm for analyzing the first image, and improves Obtain the efficiency of the image gain parameter corresponding to the first image.

In one of the embodiments, the step of obtaining the second gain parameter according to the first gain parameter and the image gain parameter includes: step 302 to step 306. Among them, step 302, the second R gain is set to the product of the first R gain and the image R gain; step 304, the second G gain is set to be equal to the first G gain; step 306, the second B gain is set to The product of the first B gain and the image B gain.

Specifically, the second R gain is obtained according to the first R gain in the first gain parameter and the image R gain in the image gain parameter, and the second R gain may be set as the product of the first R gain and the image R gain; The first G gain in the first gain parameter and the image G gain in the image gain parameter obtain the second G gain, and the second G gain can be set to be equal to the first G gain; according to the first B gain in the first gain parameter And the image B gain in the image gain parameter to obtain the second B gain, which may be the product of the first B gain and the image B gain. In this embodiment, the second gain corresponding to the R channel and the B channel is set as the product of the corresponding first gain and the corresponding image gain. The algorithm is simple and can efficiently perform white balance processing, so that the R pixels, G pixels, and B pixels are all full. Within the range, alleviate the color cast problem of the highlight part of the image. In one of the embodiments, the step of setting the second G gain to be equal to the first G gain includes: setting both the second G gain and the first G gain to 1. Since the sensitivity of the G pixel is relatively high, it generally does not need to be increased. Setting the second G gain and the first G gain to a constant value of 1, not only reduces the computational complexity of the algorithm, but also ensures the imaging effect of the image sensor.

In one of the embodiments, the step of obtaining the image gain parameter corresponding to the first image includes: obtaining the image gain parameter according to the gray information of the first image, and the image gain parameter includes: image R gain, image G gain, and image B gain.

Specifically, the white balance gain algorithm is used to analyze the gray information of the R channel, the G channel, and the B channel and the second gain parameter in the first image. The second gain parameter includes: image R gain, image G gain, and image B gain. Calculating the image R gain, image G gain, and image B gain separately can make the obtained second gain parameter more accurate, better white balance performance, and better imaging effect of the image acquired by the image sensor.

In one of the embodiments, the second gain parameter includes: a second R gain, a second G gain, and a second B gain, and the first gain parameter includes: a first R gain, a first G gain, and a first B gain. Obtaining the second gain parameter according to the first gain parameter and the image gain parameter includes: step 402 to step 406. Among them, step 402, the second R gain is set to the product of the first R gain and the image R gain; step 404, the second G gain is set to the product of the first G gain and the image G gain; step 406, the second The B gain is set as the product of the first B gain and the image B gain.

Specifically, the second R gain is obtained according to the first R gain in the first gain parameter and the image R gain in the image gain parameter, and the second R gain may be set as the product of the first R gain and the image R gain; The first G gain in a gain parameter and the image G gain in the image gain parameter obtain the second G gain. The second G gain can be set as the product of the first G gain and the image G gain; The image B gain in the first B gain and image gain parameters obtains the second B gain, which may be the product of the first B gain and the image B gain. In this embodiment, the second gain corresponding to the R channel, the G channel, and the B channel is set as the product of the corresponding first gain and the corresponding image gain. The algorithm is simple, can efficiently and accurately perform white balance processing, and can make R pixels and G pixels And B pixels are within the full scale, alleviating the color cast problem of the highlight part of the image.

In one of the embodiments, the step of obtaining the image gain parameter corresponding to the first image includes: step 502 and step 504. Among them, step 502, obtain the gray information of the first image by using the gray world algorithm; step 504, obtain the image gain parameter according to the gray information of the first image.

Specifically, the gray world algorithm assumes that for a picture with rich colors, the average value of the three channels of R, G, and B on the image should be equal to a value K called "gray". Half of the maximum value of each channel can be used as the "gray" value K, and the average value of the average values of the three channels of the picture to be processed can be used as the "gray" value K. Obtaining the image gain parameter according to the gray information of the first image means that after the gray value K is determined, the correction coefficients for converting the image to be processed to the classic light source are: kr=K/ _Rmean , kg=K/ G _mean , kb=K/B _mean , where R _mean , G _mean and B _mean are the mean values of the R, G, and B channels of the image, respectively. The gray world algorithm can be used to obtain the image gain parameters simply and quickly, and then the image gain parameters are combined with the built-in first gain parameter of the image sensor to obtain the second gain parameter, and the second gain parameter is built into the image sensor, which can realize the image gain parameter. White balance processing can make R pixels, G pixels and B pixels all within the full range, alleviating the color cast problem in the highlight part of the image.

It should be understood that although the various steps in the flowcharts of FIGS. 2-5 are displayed in sequence as indicated by the arrows, these steps are not necessarily performed in sequence in the order indicated by the arrows. Unless specifically stated in this article, the execution of these steps is not strictly limited in order, and these steps can be executed in other orders. Moreover, at least some of the steps in Figures 2-5 may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed at the same time, but can be executed at different times. These sub-steps or stages The execution order of is not necessarily performed sequentially, but may be performed alternately or alternately with at least a part of other steps or sub-steps or stages of other steps.

Fig. 6 is a structural block diagram of a white balance control device according to an embodiment. The white balance control device shown in FIG. 6 is applied to electronic equipment. The electronic equipment includes an image sensor. The white balance control device includes: an acquisition module 602, a first acquisition module 604, and a second acquisition module 606. Among them, the acquisition module 602 is used to acquire a first image using an image sensor, and the image sensor has a built-in first gain parameter; the first acquisition module 604 is used to acquire image gain parameters corresponding to the first image; and the second acquisition module 606 uses In order to obtain the second gain parameter according to the first gain parameter and the image gain parameter, the second gain parameter is used to be built into the image sensor so that the image sensor obtains the second image, and the second image and the first image are two consecutively collected images by the image sensor. Images.

Specifically, the acquisition module 602 acquires a first image of the current scene by using an image sensor set with a first gain parameter, and the first image may be a grayscale image or a visible light image. The first acquisition module 604 uses the white balance gain algorithm to analyze the gray information of the R channel, the G channel and the B channel and the second gain parameter in the first image. The second gain parameter includes: the second R gain, the second G gain, and the second gain parameter. The second B gain may also include only any two of the second R gain, the second G gain, and the second B gain. The second acquiring module 606 acquiring the second gain parameter according to the first gain parameter and the image gain parameter refers to acquiring the second R gain according to the first R gain in the first gain parameter and the image R gain in the image gain parameter; The first G gain in the first gain parameter and the image G gain in the image gain parameter obtain the second G gain; the second B gain is obtained according to the first B gain in the first gain parameter and the image B gain in the image gain parameter . Update the acquired second gain parameter to the image sensor so that the image sensor acquires the second image acquired by the current scene, the second image and the first image are two images continuously collected by the image sensor, and the second image is the white balance gain In the corrected image, the color cast in the highlight part of the second image has been corrected, so that the R pixel, G pixel and B pixel are all within the full scale, alleviating the color cast problem in the highlight part of the image. Before acquiring the first image by using the image sensor, the first gain parameter may be set first, and the first gain parameter may include: the first R gain, the first G gain, and the first B gain. In one of the embodiments, before the first image is captured by the image sensor, the first R gain, the first G gain, and the first B gain in the image sensor are all configured to be 1.

The above white balance control device acquires the first image of the current scene based on the first gain parameter built in the image sensor, analyzes the first image to obtain the image gain parameter, and uses the first gain parameter and the image gain The second gain parameter of the parameter is reached, and the first gain parameter in the image sensor is updated to the second gain parameter to acquire the next image. This application obtains the second gain parameter through the first gain parameter built in the image sensor and the image gain parameter of the current scene. The second gain parameter is updated in the image sensor, and the number of pixel bits is limited to ensure that each The actual maximum value of the R, G, and B pixels are all less than the maximum value of the full scale of the pixel, and can make the R pixel, G pixel and B pixel after the white balance processing of the electronic device are all within the full scale, alleviating the deviation of the highlight part of the image Color problem.

In one of the embodiments, the first obtaining module is further configured to obtain image gain parameters according to the gray information of the first image, and the image gain parameters include: image R gain and image B gain.

In one of the embodiments, the second acquisition module includes: a first setting unit for setting the second R gain as the product of the first R gain and the image R gain; and the second setting unit for setting the second G gain It is set equal to the first G gain; the third setting unit is used to set the second B gain as the product of the first B gain and the image B gain.

In one of the embodiments, the second setting unit is further configured to set both the second G gain and the first G gain to 1.

In one of the embodiments, the first acquisition module is further configured to acquire image gain parameters according to the gray information of the first image, and the image gain parameters include: image R gain, image G gain, and image B gain.

In one of the embodiments, the second acquisition module includes: a first setting unit for setting the second R gain as the product of the first R gain and the image R gain; and the second setting unit for setting the second G gain It is set as the product of the first G gain and the image G gain; the third setting unit is used to set the second B gain as the product of the first B gain and the image B gain.

In one of the embodiments, the first obtaining module is further configured to obtain the gray information of the first image by using the gray world algorithm; and obtain the image gain parameter according to the gray information of the first image.

In one of the embodiments, the first gain parameter includes: a first R gain, a first G gain, and a first B gain, and the device further includes a configuration module for setting the first R gain, the first G gain in the image sensor And the first B gain is configured to 1.

The division of the modules in the white balance control device described above is only for illustration. In other embodiments, the white balance control device can be divided into different modules as needed to complete all or part of the functions of the white balance control device.

For the specific definition of the white balance control device, please refer to the above definition of the white balance control method, which will not be repeated here. Each module in the above white balance control device can be implemented in whole or in part by software, hardware, and a combination thereof. The above-mentioned modules may be embedded in the form of hardware or independent of the processor in the computer equipment, or may be stored in the memory of the computer equipment in the form of software, so that the processor can call and execute the operations corresponding to the above-mentioned modules.

Fig. 7 is a schematic diagram of the internal structure of an electronic device in an embodiment. As shown in FIG. 7, the electronic device includes a processor and a memory connected through a system bus. Among them, the processor is used to provide computing and control capabilities to support the operation of the entire electronic device. The memory may include a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system and a computer program. The computer program can be executed by the processor to implement a white balance control method provided in the following embodiments. The internal memory provides a cached operating environment for the operating system computer program in the non-volatile storage medium. The electronic device can be any terminal device such as a mobile phone, a tablet computer, a PDA (Personal Digital Assistant), a POS (Point of Sales), a vehicle-mounted computer, and a wearable device.

The implementation of each module in the white balance control device provided in the embodiments of the present application may be in the form of a computer program. The computer program can be run on a terminal or a server. The program module constituted by the computer program can be stored in the memory of the electronic device. When the computer program is executed by the processor, it realizes the steps of the method described in the embodiments of the present application.

The embodiment of the present application also provides a computer-readable storage medium. One or more non-volatile computer-readable storage media containing computer-executable instructions, when the computer-executable instructions are executed by one or more processors, cause the processors to execute the steps of the white balance control method.

A computer program product containing instructions that, when running on a computer, causes the computer to execute the following white balance control method:

Use an image sensor to collect the first image, and the image sensor has a built-in first gain parameter;

Acquiring an image gain parameter corresponding to the first image;

The second gain parameter is obtained according to the first gain parameter and the image gain parameter. The second gain parameter is used to be built into the image sensor to enable the image sensor to obtain a second image. The second image and the first image are two consecutively collected images by the image sensor. image.

Any reference to memory, storage, database, or other media used in this application may include non-volatile and/or volatile memory. Non-volatile memory may include read only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM), which acts as external cache memory. As an illustration and not a limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous Link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

The technical features of the above-mentioned embodiments can be combined arbitrarily. In order to make the description concise, all possible combinations of the various technical features in the above-mentioned embodiments are not described. However, as long as there is no contradiction in the combination of these technical features, All should be considered as the scope of this specification.

The above-mentioned embodiments only express several implementation modes of the present invention, and their description is relatively specific and detailed, but they should not be understood as a limitation on the scope of the invention patent. It should be pointed out that for those of ordinary skill in the art, without departing from the concept of the present invention, several modifications and improvements can be made, and these all fall within the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention should be subject to the appended claims.

Claims

A white balance control method applied to an electronic device, the electronic device including an image sensor, including:

Acquiring a first image by using the image sensor, and the image sensor has a built-in first gain parameter;

Acquiring an image gain parameter corresponding to the first image;

A second gain parameter is obtained according to the first gain parameter and the image gain parameter, and the second gain parameter is used to be built in the image sensor so that the image sensor obtains a second image, the second image And the first image are two images continuously collected by the image sensor.
The method according to claim 1, wherein said obtaining the image gain parameter corresponding to the first image comprises:

The image gain parameter is acquired according to the gray information of the first image, and the image gain parameter includes: image R gain and image B gain.
The method according to claim 2, wherein the first gain parameter includes: a first R gain, a first G gain, and a first B gain, and the second gain parameter includes: a second R gain, a second G gain Gain and second B gain, the acquiring the second gain parameter according to the first gain parameter and the image gain parameter includes:

Setting the second R gain as a product of the first R gain and the image R gain;

Setting the second G gain to be equal to the first G gain;

The second B gain is set as the product of the first B gain and the image B gain.
The method according to claim 3, wherein said setting said second G gain to be equal to said first G gain comprises:

Set both the second G gain and the first G gain to 1.
The method according to claim 1, wherein said obtaining the image gain parameter corresponding to the first image comprises:

The image gain parameter is acquired according to the gray information of the first image, and the image gain parameter includes: image R gain, image G gain, and image B gain.
The method according to claim 5, wherein the first gain parameter includes: a first R gain, a first G gain, and a first B gain, and the second gain parameter includes: a second R gain, a second G gain Gain and second B gain, the acquiring the second gain parameter according to the first gain parameter and the image gain parameter includes:

Setting the second R gain as a product of the first R gain and the image R gain;

Setting the second G gain as a product of the first G gain and the image G gain;

The second B gain is set as the product of the first B gain and the image B gain.
The method according to claim 1, wherein said obtaining the image gain parameter corresponding to the first image comprises:

Acquiring the gray information of the first image by using a gray world algorithm;

Acquiring the image gain parameter according to the gray information of the first image.
The method according to any one of claims 1 to 6, wherein the first gain parameter includes: a first R gain, a first G gain, and a first B gain, and the image sensor is used to collect the first gain Before an image, the method further includes:

The first R gain, the first G gain, and the first B gain in the image sensor are all configured to be 1.
A white balance control device is applied to an electronic device, the electronic device includes an image sensor, and the device includes:

An acquisition module, configured to acquire a first image by using the image sensor, and the image sensor has a built-in first gain parameter;

The first acquiring module is configured to acquire the image gain parameter corresponding to the first image;

The second acquisition module is configured to acquire a second gain parameter according to the first gain parameter and the image gain parameter, and the second gain parameter is used to be built in the image sensor so that the image sensor acquires the second gain parameter. Images, the second image and the first image are two images continuously collected by the image sensor.
The device according to claim 9, wherein the first obtaining module is further configured to obtain the image gain parameter according to the gray information of the first image, and the image gain parameter comprises: image R gain and image B Gain.
The apparatus according to claim 10, wherein the first gain parameter includes: a first R gain, a first G gain, and a first B gain, and the second gain parameter includes: a second R gain, a second G gain Gain and second B gain, the second acquisition module includes:

A first setting unit, configured to set the second R gain as a product of the first R gain and the image R gain;

A second setting unit, configured to set the second G gain to be equal to the first G gain;

The third setting unit is configured to set the second B gain as the product of the first B gain and the image B gain.
The device according to claim 11, wherein the second setting unit is further configured to set both the second G gain and the first G gain to 1.
The device according to claim 9, wherein the first obtaining module is further configured to obtain the image gain parameter according to the gray information of the first image, and the image gain parameter includes: image R gain, image G Gain and image B gain.
The apparatus according to claim 13, wherein the first gain parameter includes: a first R gain, a first G gain, and a first B gain, and the second gain parameter includes: a second R gain, a second G gain Gain and second B gain, the second acquisition module includes:

A first setting unit, configured to set the second R gain as a product of the first R gain and the image R gain;

A second setting unit, configured to set the second G gain as the product of the first G gain and the image G gain;

The third setting unit is configured to set the second B gain as the product of the first B gain and the image B gain.
The device according to claim 9, wherein the first obtaining module is further configured to obtain the gray information of the first image by using a gray world algorithm; obtain the image according to the gray information of the first image Gain parameters.
The device according to any one of claims 9-15, wherein the first gain parameter comprises: a first R gain, a first G gain, and a first B gain, and the device further comprises:

The configuration module is configured to configure the first R gain, the first G gain, and the first B gain in the image sensor to be 1.
An electronic device, comprising a memory and a processor, and a computer program is stored in the memory. When the computer program is executed by the processor, the processor executes any one of claims 1 to 8. The steps of the white balance control method.
A computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 8 are realized.