In accordance with regulations and requirements, the editorial department's website domain has been changed to arocmag.cn. The original domain (arocmag.com) will be discontinued after Dec. 31st, 2024.
See More
Technology of Graphic & Image
|
App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 4
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
DOI: 10.19734/j.issn.1001-3695.2018.07.0788

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.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)