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Self-adaptive enhancement method based on dark-light color image

An adaptive enhancement, color image technology, applied in the field of image processing, can solve problems such as denoising

Inactive Publication Date: 2018-08-10
XI'AN POLYTECHNIC UNIVERSITY
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Problems solved by technology

[0004] The purpose of the present invention is to provide a kind of self-adaptive enhancement method based on dark light color image, adopt the method of wavelet transform to noise part threshold value, enhance non-noise high frequency coefficient, solve the denoising problem of existing dark light color image

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  • Self-adaptive enhancement method based on dark-light color image
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[0083] The present invention will be described in detail below in combination with specific embodiments.

[0084] A kind of self-adaptive enhancement method based on dark light color image of the present invention is characterized in that: specifically comprises the following steps:

[0085] Step 1: Transform the dark-light color image into HSV color space to obtain a V-channel image containing brightness information, and perform secondary wavelet decomposition on the V-channel image to obtain a low-frequency sub-image W u and six high-frequency sub-images with

[0086] The specific process of step 1 is as follows:

[0087] Step 1.1, decompose the dark and light color image into RGB color space, and the values ​​of R, G, and B in the RGB color space at a certain point are converted to the corresponding values ​​of H, S, and V in HSV space through the following formulas (1)-(3) , in HSV space, the set of H values ​​of all points is the H channel image, the set of S values...

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Abstract

The invention discloses a self-adaptive enhancement method based on a dark-light color image. The method specifically includes the following steps: carrying out HSV color space conversion on the dark-light color image to obtain a channel-V image containing brightness information, and carrying out second wavelet decomposition on the channel-V image to obtain a low-frequency sub-image of W and six high-frequency sub-images of W<v><H>, W<v><V>, W<v><D >, W<v><H'>, W<v><D'> and W<v><V'>; using a semi-soft threshold value to process the high-frequency sub-band images of W<v><H>, W<v><V>, W<v><D>, W<v><H'>, W <v><D'> and W<v><V'> obtained by decomposition; carrying out image enhancement on the low-frequency sub-band image obtained by decomposition; and carrying out image reconstruction on theprocessed high-frequency sub-band images and the processed low-frequency sub-band image, and carrying out inverse HSV conversion on a reconstructed image to obtain an enhanced color image. Accordingto the method, a method of wavelet transform is employed to enhance noise portion thresholds and non-noise high-frequency coefficients, and denoising problems of existing dark-light color images are solved.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to an adaptive enhancement method based on dark-light color images. Background technique [0002] The purpose of image enhancement is to highlight the useful information in the image and expand the difference between the features of different objects in the image, thereby improving the visual effect of the image and highlighting the features of the image. Color image enhancement is widely used in fields such as agriculture, medicine, video and pattern recognition. Due to various constraints or conditions, the obtained color image is dark in color, low in contrast, and local features are not prominent, which will have a huge impact on the accuracy of recognition and the intuitive feeling of the image. At present, the color image enhancement algorithm is to convert the color image to the corresponding color space, take its grayscale image for histogram equalization enhancement...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T5/10
CPCG06T5/10G06T2207/20064G06T2207/20021G06T2207/20182G06T5/77G06T5/70
Inventor 王延年耿琅环张豪柴小强谢福来
Owner XI'AN POLYTECHNIC UNIVERSITY
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