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Technology of Graphic & Image
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1204-1209

Multi-level decomposition Retinex low-light image enhancement algorithm

Wang Ping1
Sun Zhenming2
1. College of Economics & Management, Beijing Polytechnic, Beijing 100029, China
2. College of Resources & Safety Engineering, China University of Mining & Technology, Beijing 100083, China

Abstract

The existing algorithms can't enhance the details of image edges and effectively control the enhancement degree of each scale information. Aiming at the problem, this paper proposed a multi-level decomposition Retinex low-light image enhancement algorithm. On the basis of Retinex decomposition model and bilateral filtering, the algorithm could obtain the multi-level reflection components and illumination component by setting different filtering parameters. Using the exponential function to enhance the multi-level reflection components, the algorithm could effectively enhance the expression ability of the image edge details. And using the S-type function to process the final luminance component, the algorithm could improve the overall brightness of the low-light image while suppressing the high-luminance area. By processing the color restoration function as post-processing, the algorithm could further avoid the problems of color deviation and distortion. The experimental results show that the proposed algorithm can improve the visual quality of low light images and is superior to the existing algorithms in terms of clarity, information entropy, and contrast.

Foundation Support

北京市财政专项资助项目(CJGX2018-SZJS-007/005)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.07.0788
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 4
Section: Technology of Graphic & Image
Pages: 1204-1209
Serial Number: 1001-3695(2020)04-053-1204-06

Publish History

[2020-04-05] Printed Article

Cite This Article

王萍, 孙振明. 多级分解的Retinex低照度图像增强算法 [J]. 计算机应用研究, 2020, 37 (4): 1204-1209. (Wang Ping, Sun Zhenming. Multi-level decomposition Retinex low-light image enhancement algorithm [J]. Application Research of Computers, 2020, 37 (4): 1204-1209. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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