Automatic white balance correcting method and device

Abstract

The invention provides an automatic white balance correcting method which includes the steps of collecting reference white points of an image to be corrected, determining the reference white points to draw a reference white region, calculating the number of the reference white points, currently located in the reference white region, of the image to be corrected, judging whether mixed color temperature exists in the image to be corrected or not, if the number of the reference white points is smaller than or equal to a first preset threshold value or it is judged that the mixed color temperature exists in the image to be corrected, calculating white balance gains through a preset algorithm strategy, carrying out color complementing correcting on the image to be corrected through the white balance gains, if it is judged that the mixed color temperature does not exist or the number of the reference white points is larger than the first preset threshold value, calculating the white balance gains according to the number of the white points located in the reference white region, and carrying out color complementing correcting on the image to be corrected through the white balance gains. According to the automatic white balance correcting method, the color shifting problem generated when the image is corrected through the white balance gains calculated with a reference white region table look-up method when the number of the reference white points is excessively small and the mixed color temperature exists is solved.

Description

technical field [0001] The invention relates to the field of image processing, in particular to an automatic white balance correction method and device. Background technique [0002] When current cameras perform white balance correction on an image to be corrected, the automatic white balance look-up table method (AWB) is often used to calculate the white balance correction gain of the image. That is, in the light box environment, collect white points at different color temperatures, draw a reference white area according to the white points at different color temperatures, and calculate the white balance correction gain for each frame of image falling into the reference white area, and use the calculated The white balance correction gain adjusts the R, G, and B three-channel component values ​​of these white points to be equal, so as to achieve the effect of removing color cast and restoring the visual white in human eyes. However, the reference white area is drawn based on...

AI Technical Summary

Problems solved by technology

However, the reference white area is drawn based on the collected white points at different color temperatures, and these color temperatures are mostly common color temperatures. Therefore, in actual scenes, if there is a special light source or a mixed color temperature appears in the image to be white balance corrected When the white point in the image will show regional distribution in the reference white area, using the automatic white balance look-up table method will show obvious limitations, and using the calculated white balance gain value to correct the white balance of the image will bring color Deviation and other issues

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