Image color cast correction method based on channel gain coefficient weighting

Abstract

The invention provides an image color cast correction method based on channel gain coefficient weighting. The image color cast correction method comprises the steps of obtaining digital image data having color cast, calculating the gain coefficients of three channels of red (R), green (G) and blue (B) of the color-cast image and corresponding weights thereof according to formulas, further calculating the weighted new gain coefficients of the three channels of R, G and B, performing point-by-point traversing on the color-cast image by use of the weighted new gain coefficients, and calculating the pixel values of each pixel point in the three channels after correction, thereby realizing the color cast correction process and obtaining the corrected digital image. The image color cast correction method based on channel gain coefficient weighting is applicable to the color cast correction of digital images, has great significance for accurately and efficiently overcoming color distortion of images, and has wide market prospect and application value.

Description

technical field [0001] An image color shift correction method based on channel gain coefficient weighting belongs to the field of digital image processing, and in particular relates to digital image processing technologies for image color shift correction and automatic white balance adjustment. Background technique [0002] The color digital image collected by digital imaging equipment such as a digital camera is synthesized by three channels of red (R), green (G), and blue (B). However, when digital imaging equipment is imaging, often due to the influence of factors such as illumination and photosensitive elements, the captured image may have a certain color deviation from the original scene, which is called color cast. Usually, the color shift image shows that the average pixel value of one or several channels in the image R, G, and B channels is obviously high. The color distortion caused by color shift seriously affects the visual effect of images. Therefore, the color ...

AI Technical Summary

Problems solved by technology

However, when adjusting the pixel value of the image through the gain coefficient, if the gain coefficient is greater than 1, the result may overflow (the pixel value is greater than 255). At this time, the usual processing method is to directly set the overflow part to 255. This processing method will result in an overall brighter image

In addition, if there is a large area of ​​single-color background (such as sky, grass, etc.) in an image, the gray-scale world assumption will no longer be applicable. Using the gray-scale world algorithm to process the image will not only fail to obtain correct correction results, but will introduce new color distortion

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