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Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 2
606-610

Color reduction and detail extraction of low illumination image with improved pyramid fusion

Xie Wei1
Hu Huanjun1
Wang Liming1
Tu Zhigang2
1. College of Computer Science, Central China Normal University, Wuhan 430079, China
2. College of Electrical & Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore
DOI: 10.19734/j.issn.1001-3695.2017.09.0960

Abstract

Aiming at the phenomenon that the low luminance image is bright and the the color is not balanced, this paper had carried on the study of the color recovery operator of the low illumination image with improved pyramid fusion technology. The algorithm combined the original image and the pretreatment diagram with the defog model or MSRCR to fuse the color contrast, saturation and brightness into the pyramid algorithm with the gold tower technique, and assigned different weight parameters according to the information of the image, which could effectively solve the traditional low-light image color enhancement problems. And it proposed a Fourier smoothing filter with weighted least squares in the CIELAB channel to smooth the image of the L channel, set the parameters of different tone mapping to enhance the image detail information, so that the information of the image in night vision is more Conspicuous and true. It selected three different types of images for experimentation, and improved the quality of graphics. It also shows that this algorithm has some universality.

Foundation Support

国家自然科学基金资助项目(61501198,41671377,41501463)
湖北省自然科学基金面上项目(2014CFB461)
武汉市青年科技晨光计划项目(2014072704011248)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.09.0960
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 2
Section: Technology of Graphic & Image
Pages: 606-610
Serial Number: 1001-3695(2019)02-063-0606-05

Publish History

[2019-02-05] Printed Article

Cite This Article

谢伟, 胡欢君, 王莉明, 等. 改进金字塔融合技术的低照度图像色彩恢复和细节提取 [J]. 计算机应用研究, 2019, 36 (2): 606-610. (Xie Wei, Hu Huanjun, Wang Liming, et al. Color reduction and detail extraction of low illumination image with improved pyramid fusion [J]. Application Research of Computers, 2019, 36 (2): 606-610. )

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.

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