Adjustment method and device of white balance

Abstract

The embodiment of the invention provides an adjustment method and device of white balance. The method comprises a step of obtaining gray characteristic data when image data is collected, wherein the gray characteristic data comprises the first chrominance of gray block data under a specific color temperature and the gray characteristic range generated based on first chrominance, a step of calculating the second chrominance of the image data, a step of calculating a white balance coefficient according to a characteristic chrominance and the first chrominance, wherein the characteristic chrominance is the second chrominance falling into the gray characteristic range, and a step of carrying out white balance adjustment by using the white balance coefficient. In the embodiment of the invention, according to the distribution data of the gray block data in different color temperature environments, the white balance adjustment is carried out, through setting a reference gray object, the recognition accuracy of gray is improved, and thus the accuracy of white balance adjustment is improved.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a white balance adjustment method and a white balance adjustment device. Background technique [0002] With the rapid development of mobile technology, various electronic devices are widely used in people's work, study, entertainment and other aspects of daily life. [0003] Many electronic devices have cameras, which can take pictures and record videos. Wherein, when taking pictures, white balance (AutoWhiteBalance, AWB) adjustment is often required. [0004] At present, the white balance adjustment is based on the gray world method as the theoretical basis, that is, to search for pixels that may be gray in the image data, and to achieve the effect of white balance by restoring them to gray. [0005] The current white balance adjustment is easy to make mistakes when there are few gray areas, causing the image data to deviate from the actual color, and the accuracy of ...

AI Technical Summary

Problems solved by technology

[0005] The current white balance adjustment is easy to make mistakes when there are few gray areas, causing the image data to deviate from the actual color, and the accuracy of white balance adjustment is low

[0006] For example, when shooting a scene where the blue sky and the road each occupy a certain proportion, it is easy to misidentify the blue sky as a gray area, and then adjust the white balance on it, resulting in a reddish final picture; for example, when shooting a yellow door, it is easy to appear bluish For another example, under low color temperature light source (warm tone), the white color observed by the human eye does not appear as white. Adjusting the white balance in such a scene may easily lead to a cold picture, which is too different from what the human eye actually sees. Big

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