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An image enhancement algorithm based on multi-algorithm fusion of different color spaces

A color space and image enhancement technology, applied in the field of image processing to improve the effect of image enhancement

Inactive Publication Date: 2019-01-11
XIANGTAN UNIV
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Problems solved by technology

[0004] Aiming at the problem of image quality degradation caused by insufficient or uneven illumination, the present invention proposes an image enhancement algorithm based on multi-algorithm fusion in different color spaces, using improved automatic contrast stretching in RGB color space and using improved automatic contrast stretching in HSV color space The improved Retinex algorithm that guides the filter to estimate the brightness, obtains two kinds of color space enhanced images, and obtains an algorithm of the final enhanced image through weighted fusion, which realizes detail enhancement and color fidelity, and obtains a relatively ideal enhancement effect

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  • An image enhancement algorithm based on multi-algorithm fusion of different color spaces
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  • An image enhancement algorithm based on multi-algorithm fusion of different color spaces

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Embodiment Construction

[0037] The technical solutions of the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0038] 1 Basic theory of Retinex algorithm

[0039] 1.1 SSR algorithm

[0040] According to the Retinex theory, the image we observe can be expressed by the product of the reflected image component and the brightness image component, and its mathematical model can be expressed as:

[0041] I(x,y)=R(x,y)×L(x,y) (1)

[0042] In the formula, (x, y) represents the spatial two-dimensional coordinates of the pixel; I(x, y) is the original image; R(x, y) is the reflected image component, and its properties depend on the characteristics of the imaging object. Contains image texture detail information, corresponding to the high-frequency part of the image, and R(x, y) is a reflection image component that has nothing to do with light, so it is an inherent characteristic of the image; L(x, y) is a brightness image co...

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Abstract

The invention discloses an image enhancement algorithm based on multi-algorithm fusion of different color spaces. Firstly, R, G and B three color channels of the image are stretched automatically in RGB color space; the original image is transformed from RGB color space to HSV color space, and the brightness component V is enhanced by using improved multi-scale Retinex algorithm, and the obtainedimage is transformed from HSV color space to RGB color space; then, two images in RGB color space are fused by weighting; finally, the fused image is Gamma corrected to realize color restoration and compensation. Experimental results show that the proposed algorithm improves the brightness and contrast of the image and retains more detailed information than other algorithms, which can effectivelyprevent false halo phenomenon.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to an image enhancement algorithm, in particular to an image enhancement algorithm based on fusion of multiple algorithms in different color spaces. Background technique [0002] In recent years, with the popularity of mobile imaging devices and the rapid development of social media platforms, it has become very convenient for people to take pictures anytime and anywhere. However, due to insufficient or uneven illumination, the quality of the image taken under such conditions will be affected, and at the same time, it may be blended with the background, making it difficult to identify the region of interest. Therefore, the enhancement of low-light images has become more and more important. [0003] Experts at home and abroad have proposed many methods, and the basic methods mainly include two categories: spatial domain image enhancement and frequency domain image enhancement...

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Application Information

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IPC IPC(8): G06T5/00
CPCG06T2207/20182G06T2207/20221G06T2207/10024G06T5/70
Inventor 李鹏周彦蔡成林黄勇姚昆仑
Owner XIANGTAN UNIV
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