A self-adapted white balance correction method

Abstract

The invention discloses a self-adaptive method for correcting the white balance, which includes the following steps: original image data is blocked and each block is viewed as an original pixel; average of a component R, a component G and a component B in each block is calculated; a G / R ratio , a G / B ratio and a corresponding Grb value in each data block are obtained; whether the G / R ratio, the G / B ratio and the corresponding Grb value are within a restricted range of the color space is judged, and the processing data is determined as the grey pixel data which is required to be selected; the step-selected R, G, and B data is calculated by statistics and the average of R, G, and B data, and gain of each data Rgain, Ggain and Bgain are obtained; and the obtained gain is applied to the interpolated image data to achieve gain control of the R, G and B components of each pixel in the image. The invention can eliminate the color influence of high saturation and low saturation, and achieve the self-adaptive white balance correction fast.

Description

technical field [0001] The invention relates to an adaptive white balance correction method for digital cameras, digital video cameras and related imaging equipment. Background technique [0002] The human visual system perceives the same color basically the same under different light conditions. When a white object moves from sunlight with more blue light components to incandescent light with more red light components, the human visual system will automatically make adjustments to balance the components of red, green, and blue light to ensure that the white object can be viewed under any lighting conditions. All appear white. This technology of balancing red, green and blue light is called white balance technology. Various imaging devices use automatic white balance algorithms to simulate the human visual system, so that white objects can appear true white in images under different lighting conditions. [0003] In the prior art, an automatic white balance method assumes ...

AI Technical Summary

Problems solved by technology

Different light sources have different corresponding color temperatures, so the intensity of RGB color components is also slightly inconsistent under different lighting conditions. When switching from one ambient light to another, the above method cannot be very effective. Adaptive Judgment and Processing

Moreover, when there is no obvious white area on the image, this method will not have the ability to analyze the current image light source, which will lead to errors in white balance correction

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