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Color image enhancement method based on improved multi-scale Retinex

A color image, multi-scale technology, applied in the field of image processing, can solve problems such as halo and color distortion, and achieve the effect of improving image brightness, saving time, and suppressing "halo".

Inactive Publication Date: 2016-06-08
GUILIN UNIV OF ELECTRONIC TECH
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AI Technical Summary

Problems solved by technology

Although the image obtained by this algorithm conforms to the human visual effect under certain conditions, color distortion and "halo" phenomenon will appear.
In view of this, Kimmel proposed a Retinex algorithm using homomorphic filtering for illuminance component estimation, which can effectively eliminate the "halo" phenomenon and suppress color distortion; Meylan et al. proposed an adaptive filtering Retinex algorithm, by adjusting the image The shape of the edge adaptive filter is used to eliminate the "halo" phenomenon at the edge of the image, but the image over-enhancement phenomenon still cannot be suppressed

Method used

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  • Color image enhancement method based on improved multi-scale Retinex
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Embodiment Construction

[0032] Based on the multi-scale Retinex algorithm based on the center-surrounding idea, it can not only achieve image dynamic range compression well, but also ensure color consistency. Its mathematical expression is as follows:

[0033] R MSR j ( x , y ) = Σ i , j = 1 3 W j R SSR i = Σ i , j = 1 3 W j { lgI i ( x , y ...

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Abstract

The invention discloses a color image enhancement method based on improved multi-scale Retinex. Firstly an unprocessed color image is read, a conventional multi-scale Retinex algorithm is improved, and the average brightness component of a current pixel is calculated by adopting bilateral filtering so that brightness component estimation based on the bilateral filtering method is obtained; secondly local contrast enhancement is performed according to the size relation of brightness of each pixel point and domain average brightness thereof; and finally the brightness image after enhancement is compared with the brightness component of the original image, RGB information of the recovered and enhanced image is linearly adjusted, and color image enhancement is obtained finally. The color image enhancement method has advantages of image detail recovery, elimination of the "halo" phenomenon, meeting the human eye visual effect and short operation time.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a color image enhancement method based on improved multi-scale Retinex. Background technique [0002] Due to the light and equipment, the brightness of the image is not obvious enough, so that the details in the background of the obtained image cannot be perceived by people, and image processing is required to obtain a higher-definition image. Image enhancement technology plays an important role in improving image quality. Using image enhancement methods, better results can be obtained, which is convenient for human eye observation and computer analysis and processing. [0003] At present, image enhancement algorithms mainly include traditional spatial domain and frequency domain image enhancement algorithms. At present, there are three methods of image enhancement in spatial domain: direct gray scale change, histogram processing and spatial filtering. It can only enh...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
CPCG06T2207/20028G06T5/94G06T5/73
Inventor 唐宁赵鹏吴绍启
Owner GUILIN UNIV OF ELECTRONIC TECH
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