Image white balance processing method and device

Abstract

The invention provides an image white balance processing method and a device. The image white balance processing method comprises acquiring color value data of pixel units of an image. Whether each pixel unit is in a color temperature deviation threshold range or not can be judged according to the color value data of the pixel units. The pixel units which are in the color temperature deviation threshold range are chosen as reference gray points. An average color value of the reference gray points and the number of the reference gray points are calculated. Whether color temperature information of the image is valid or not can be judged according to the number of the reference gray points and the color temperature deviation threshold. If the color temperature information of the image is valid, a white balance correction coefficient is calculated according to the average color value of the reference gray points, and a corrected color value of the each pixel unit is calculated according to the white balance correction coefficient. If the color temperature information of the image is invalid, the corrected color value of the each pixel unit is calculated according to the white balance correction coefficient of a previous image, and the color temperature deviation threshold is adjusted. The image white balance processing device processes the white balance of the images according to the image white balance processing method. The image white balance processing method and a device have the advantages of processing the white balance of the images accurately and reducing calculated quantity.

Description

technical field [0001] The invention relates to the field of image processing of digital video recording equipment, in particular to a white balance processing method and a white balance processing device for digital video recording equipment. Background technique [0002] The different colors of objects seen by the human eye are the result of different wavelengths of light entering the human eye. Under the illumination of different light sources, the reflected light of a white object will change, so its color characteristics are different under different light sources. The human eye has an automatic adjustment function in color perception, which can make white objects basically appear white under different light sources. Digital video recording devices, such as digital cameras and digital video cameras, are different from the human eye. They only faithfully present the proportion of light reflected by objects. For a digital video recording device without white balance funct...

AI Technical Summary

Problems solved by technology

This method is more accurate in correction, but its accuracy depends on the reference color temperature curve and matching algorithm, and its adaptability is poor

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