Technology of Graphic & Image
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3786-3790,3807

Low-light image enhancement based on multi-branch residual and affine transformation

Huang Renjing
Cui Hu
Chen Qingmei
Huang Chuhua
College of Computer Science & Technology, Guizhou University, Guiyang 550025, China

Abstract

The existing algorithms cannot deal with brightness, contrast, artifact and noise at the same time. This paper proposed the low-light enhancement network based on multi-branch residual and affine transformation. The key idea was to exert different modules to handle different tasks. Firstly, the illumination estimation module obtained the illumination variable of the low-light image. Secondly, it combined the illumination affine transformation module with the illumination encoding parameters to restore the illumination of the image. Finally, the detail reconstruction module fused more image details to obtain the final output. The experimental results show that the proposed method effectively enriches the image texture details, enhances brightness and contrast while suppressing the artifact and noise generated. Compared with popular methods, the results quantitatively and qualitatively prove that the method is better for low-light image enhancement.

Foundation Support

贵州省自然科学基金资助项目(黔科合基础[2019]1088)
贵州大学引进人才科研项目(贵大人基合字(2017)31号
贵大人基合字(2015)52号)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.03.0126
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 12
Section: Technology of Graphic & Image
Pages: 3786-3790,3807
Serial Number: 1001-3695(2021)12-048-3786-05

Publish History

[2021-12-05] Printed Article

Cite This Article

黄仁婧, 崔虎, 陈青梅, 等. 融合多分支残差与仿射变换的低照度图像增强 [J]. 计算机应用研究, 2021, 38 (12): 3786-3790,3807. (Huang Renjing, Cui Hu, Chen Qingmei, et al. Low-light image enhancement based on multi-branch residual and affine transformation [J]. Application Research of Computers, 2021, 38 (12): 3786-3790,3807. )

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  • 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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