Color Filter Array Image Demosaicing Method Based on Contour Nonlocal Mean

Abstract

The invention discloses a method for demosaicing a color filtering array image based on an outline non-local mean value, and mainly aims to solve the problem in the prior art, edge blurring and the zipper effect are easy to occur. The method includes the steps that 1, the color filtering array image is input; 2, direction interpolation is conducted on a green channel, and an outline matrix of a green interpolation image is solved; 3, blocks to be corrected of the green interpolation image are acquired; 4, an image block set and outlines of the blocks to be corrected are acquired, and similar blocks are found out from the set, and the weight of the similar blocks is calculated; 5, weighted mean is conducted on all the similar blocks; all the blocks of the green interpolation image are corrected through the weighted mean value; direction interpolation is conducted on a red channel and a blue channel, and an outline matrix of the red interpolation image and an outline matrix of the blue interpolation image are solved; blocks to be corrected of the red interpolation image and blocks to be corrected of the blue interpolation image are acquired, the fourth step and the fifth step are repeatedly executed, and all the blocks of the red interpolation image and all the blocks of the blue interpolation image are corrected; the full-color image is output. By the adoption of the method, edge blurring can be avoided, the zipper effect and false colors can be prevented from occurring, and the method is used for restoring the color filtering array image.

Description

technical field [0001] The invention belongs to the technical field of image processing, in particular to a color filter array image demosaic method combined with direction interpolation and contour non-local mean value. The invention can be used to recover the complete color information of the color filter array image in the single-sensor chip camera, so as to make up for the loss of the image color information caused by reducing the hardware cost of the camera. Background technique [0002] With the widespread use of digital cameras, their cost and size are a problem that cannot be ignored. For this reason, most of the existing digital cameras use a single charge-coupled device CCD or a complementary metal-oxide semiconductor CMOS as the image sampling sensor. It is covered with a layer of color filter array arranged in Bayer mode. This array enables the same pixel to sample only three primary colors, namely red R, green G, and blue B, while the other two color values ​​ar...

AI Technical Summary

Problems solved by technology

Although this method can effectively improve the demosaic effect of the filter array image, it still has the disadvantage of blurred edges.

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