Gray level image colorizing method and device

Abstract

The invention discloses a gray level image colorizing method, and belongs to the technical field of digital image processing. Directing at the problem that in an existing image colorizing method based on YUV joint correlation, colors of an edge region are mixed and distorted, the existing image colorizing method is improved. The gray level image colorizing method comprises the steps that firstly, the similarity degree of spatial position information and brightness information is considered comprehensively and used, and a plurality of extremely similar pixels are searched out from a larger window region with a pixel to be colorized as the center; secondarily, the post-normalization local brightness weighting coefficients of the extremely similar pixels are calculated; then a chromaticity-coefficient constraint matrix equation formed by chromaticity of all the pixels and the local brightness coefficients of all the pixels is solved to obtain the chromaticity of the pixel to be colorized; at last, an image is converted from a YUV space to a RGB space to obtained a colorized image. The invention further discloses a gray level image colorizing device using the method. The gray level image colorizing method and device can reduce color mixing and distortion of the edge region of the image, and improve the subjective and objective quality of the colorized image.

Description

technical field [0001] The invention relates to a grayscale image colorization method, which mainly solves the problem of obvious color aliasing and distortion at the edge of the image in the existing YUV joint correlation image colorization method, and belongs to the technical field of digital image processing. Background technique [0002] The image is the result of the objective world directly or indirectly acting on the human eye through the reflection of light, and the sensitivity of the human eye to color is higher than that of grayscale, so enhancing the chromaticity information of the image can effectively improve the vision of the image Effect. Image colorization is one such technique. Image colorization is a process of adding color to images or videos based on a small amount of artificially added color information, which can be widely used in image editing. For example, the purpose of replacing the color in the color picture is achieved by manually calibrating pa...

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Problems solved by technology

[0004] The technical problem to be solved by the present invention is to overcome the defect of color aliasing and distortion in the edge area existing in the existing image colorization method based on YUV joint correlation, and to provide a grayscale image colorization method by using the self-similarity characteristic of the image, which can Reduce the color aliasing distortion in the edge area of ​​the image, and improve the subjective and objective quality of the colored image

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