White balance processing method and device, storage medium, and image capture device

Abstract

The present invention provides a white balance processing method and device, a storage medium, and an image capture device. In the white balance processing method, an image to be processed is divided according to a first threshold to obtain a first color temperature image and a second color temperature image. The number of pixels first determines whether it is a mixed color temperature image, and then further determines whether the image to be processed is a mixed color temperature image according to the relationship between high and low color temperature. Balance gain, through the white balance weight value, the white balance gain of the high and low color temperature images is further mixed to obtain the target white balance gain coefficient, which can effectively alleviate the color cast problem in the white balance processing of the mixed color temperature image; when the mixed color temperature image is determined as a non-mixed color temperature image , then a single color temperature image is used to calculate the white balance gain value of the current image, so as to realize fast white balance processing, so that the white balance processing method of the present invention has better robustness.

Description

technical field [0001] The present invention relates to the technical field of white balance, and in particular, to a white balance processing method and device, a storage medium, and an image capture device. Background technique [0002] Due to the unique adaptability of the human eye, the perception of the color of the surface of the object can remain unchanged when the light source changes, but image capture devices (such as cameras) do not have such a feature. When the light source changes, the color of the object surface also changes. Changes will occur, so the white balance module is usually set in the image capture device for color restoration. At present, the more common practice is to assume that the scene is a single color temperature, and the calculated gain is used as the gain of each pixel. In the mixed color temperature scene, that is, the image contains two or more color temperatures, if the current single color temperature gain method is directly used for whi...

AI Technical Summary

Problems solved by technology

[0002] Due to the unique adaptability of the human eye, the perception of the color of the object surface can remain unchanged when the light source changes, but image capture devices (such as cameras) do not have such characteristics. When the light source changes, the color of the object surface also changes. will change, so usually the image capture device will set a white balance module to restore the color. At present, the more common method is to assume the scene as a single color temperature, and the calculated gain is used as the gain of each pixel. However, in actual scenes, it often encounters In mixed color temperature scenarios, that is, the image contains two or more color temperatures. If the current single color temperature gain method is used directly for white balance processing, the result of white balance gain tends to be biased towards the color temperature area with a large ratio of pixels, which will cause Pixel color cast is serious at other color temperatures

[0003] The patent document with the application number 202010424880.0 discloses a white balance gain correction method, device, system and computer equipment. In the white balance gain correction method provided by it, according to the color temperature of each pixel in the target image, the The target image is divided into a plurality of color temperature areas, and the color temperature area whose number of white blocks reaches the preset condition is selected as the correction reference area, and the number of white blocks in the correction reference area is obtained, according to the number of white blocks and the white area in the target image. The total number of blocks to obtain the gain confidence degree, and obtain the preset gain coefficient and the weight of the calibration reference area according to the preset white balance algorithm. When the gain confidence degree and the weight meet the correction conditions, according to the reference Gain coefficient, the preset gain coefficient and the gain confidence, the white balance gain correction of the target image can improve the accuracy and reliability of the white balance gain correction to a certain extent, but the implementation of this prior art requires more A large amount of calculation, and the robustness of the white balance effect is not strong

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