Retinex-based color image enhancement method

A color image, RGB image technology, applied in the field of color image enhancement based on Retinex, to enhance image edge information, improve image contrast, and avoid distortion.

Active Publication Date: 2018-04-20
CHENGDU MEDICAL COLLEGE
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AI Technical Summary

Problems solved by technology

[0005] The present invention aims to provide a color image enhancement method based on Retinex, which can improve the brightness and contrast of the color image, avoid the distortion of the color image, eliminate the problem that halos are easily generated in areas with obvious contrast, and can enhance image edge information to highlight image details

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  • Retinex-based color image enhancement method

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Embodiment Construction

[0024] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0025] Step 101, obtaining a source RGB image, and obtaining a source R channel image, a source G channel image and a source B channel image in the source RGB image;

[0026] In this embodiment, the acquired source RGB image is first converted into a double type, and then the source R channel image information, the source G channel image information and the source B channel image information are respectively extracted, and are respectively recorded as R(x, y), G (x,y), B(x,y).

[0027] Step 102, calculating the gray value of the source RGB image to obtain the first gray image I (x, y);

[0028] In the present embodiment, calculate the grayscale value of source RGB image according to following formula, and this formula is also the method for extracting brightness ...

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Abstract

The invention discloses a Retinex-based color image enhancement method, which comprises the following steps: calculating a source image gray value to obtain a first grayscale image; carrying out multi-scale Retinex processing and pixel correction on the first grayscale image to obtain a second grayscale image; calculating a dyeing factor according to the first grayscale image and the second grayscale image; carrying out dyeing processing on a source R channel image, a source G channel image and a source B channel image according to the dyeing factor to obtain a second R channel image, a secondG channel image and a second B channel image; carrying out dyeing processing on the source R channel image to obtain a third R channel image; and carrying out synthesis on the third R channel image,the second G channel image and the second B channel image to obtain an enhanced color image. The technical scheme can improve image brightness and contrast, prevent image distortion, eliminate the problem of halo easily generated in contrast-obvious areas, and can enhance image edge information and highlight image details.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a color image enhancement method based on Retinex. Background technique [0002] The quality of fundus images plays a vital role in the detection of diseases and obtaining reliable diagnostic results. However, the retinal fundus image is affected by the imaging equipment and imaging environment, the quality of the obtained image is poor, and the brightness and contrast of the image are very low. These factors make it difficult to conduct pathological analysis directly through the captured fundus image, and the diagnosis is prone to deviation. It is necessary to improve the brightness and contrast of such fundus images, enhance the details, and facilitate analysis. Therefore, clinically, the enhancement of fundus images is of great significance for the diagnosis and treatment evaluation of cardiovascular diseases. [0003] At present, the commonly used retinal image enh...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T7/90
CPCG06T5/008G06T2207/20192G06T2207/30041G06T7/90
Inventor 刘玉红陈涛余东
Owner CHENGDU MEDICAL COLLEGE
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