Color image processing method and device

Abstract

The invention discloses a color image processing method and device, and the method comprises the steps: obtaining a to-be-processed mosaic image; obtaining a horizontal white pixel interpolation image and obtaining a vertical white pixel interpolation image; acquiring a horizontal demosaiced color image according to the horizontal white pixel interpolation image and the to-be-processed mosaic image; acquiring a vertical demosaiced color image according to the vertical white pixel interpolation image and the to-be-processed mosaic image; acquiring a horizontal chromatic aberration uniformity parameter and a vertical chromatic aberration uniformity parameter of each pixel position according to the horizontal demosaiced color image and the vertical demosaiced color image; and according to the size relationship between the horizontal chromatic aberration uniformity parameter and the vertical chromatic aberration uniformity parameter, acquiring a pixel of each pixel position in the horizontal demosaiced color image or the vertical demosaiced color image to form a color image. Therefore, the false color of the demosaiced color image is reduced, and the quality of the color image is improved.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a color image processing method and device thereof. Background technique [0002] White pixels have a wider spectral response than color pixels, and can receive more photons. Therefore, security monitoring equipment and other equipment that need to work at night, in order to see the target clearly in a low-light environment, mostly use white pixels (hereinafter referred to as W pixel) black and white image sensor. [0003] Since color images contain more information than black-and-white images, it is of great practical significance to make color image sensors capable of capturing high-quality color images under low illumination. In order to improve the image quality of color images in low-illumination environments, the existing technology adds 50% of W pixels to RGB color image sensors to form an RGBW pixel array, which improves the image quality in low-illumina...

AI Technical Summary

Problems solved by technology

[0005] However, when the RGB color image is formed by interpolating W pixels, only 50% of the W pixel information is used for interpolation, so the accuracy of the W pixel interpolation is poor, resulting in the RGB color image after demosaicing. More, RGB color image quality is poor

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