Method for staining digital image

Abstract

The invention discloses a method for staining a digital image, comprising the following steps: selecting a color image with the content similar to a black and white image as a color source; respectively extracting characteristic vector space models of the two images; judging the similarity of a target image and the color source image; converting an RGB expression mode of the image to an L alpha beta mode; transmitting color information; and converting an L alpha beta expression mode of the image to an RGB mode so as to form the strained target image. The method has the color source from a color image with similar content, is automatically completed by utilizing brightness information according to an optimal matching algorithm, has objectivity and retains original information of the stainedimage with adding information, i.e. the color of the color source and the like, thereby enhancing the visual effect, the reality sense and the staining success rate; and in addition, the whole colorobtaining and providing process has completely automatic processing, thereby being convenient and fast and only needing normal visual perception capability without needing any professional skills, i.e. drawing, coloring and the like.

Description

technical field [0001] The invention relates to a digital image processing technology, in particular to a digital image coloring method. Background technique [0002] Because human eyes are far more sensitive to changes in color than grayscale, coloring of black and white images is one of the most common problems to be solved in image processing. In terms of entertainment, in order to enhance the visual effect, valuable black-and-white photos and classic movies need to color grayscale images; in the field of education and scientific research, coloring some scientific images and illustrations is conducive to vividly expressing the information contained in these images. Give full play to people's perception ability; in medical diagnosis and digital human body research, coloring grayscale MRI magnetic resonance images, X-ray images and CT images is conducive to fully displaying the characteristics of these graphics and discovering diseases in time. [0003] From the perspectiv...

AI Technical Summary

Problems solved by technology

Because of these ambiguities, the coloring problem has not been satisfactorily resolved

However, the pseudo-color only shows some details that are difficult to distinguish in the grayscale image in the pseudo-color image through the color scale, and it cannot reflect the true color of the black-and-white image.

On the one hand, there is no unique encoding method for false color, and the false color map of the same image is likely to change due to different doctors

On the other hand, since the pseudo-color technology is only applicable to grayscale images below 256 levels, for high-resolution images higher than 256 grayscales, the grayscale compression can only be mapped to 256 grayscales first, and then Then encode, but the compression mapping is equivalent to reducing the grayscale resolution of the processed image

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