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Technology of Graphic & Image
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584-587

Image enhancement method based on multi-layer fusion and detail recovery

Long Xin1,2
He Guotian1,2
1. College of Computer Science & Technology, Chongqing University of Posts & Telecommunications, Chongqing 400065, China
2. Chongqing Institute of Green & Intelligent Technology, Chinese Academy of Sciences, Chongqing 400065, China

Abstract

This paper proposed an image enhancement method based on multi-layer fusion and detail recovery, to solve the image deterioration such as low contrast and blurred details in undesirable illumination environments. Firstly, this paper co-pied the V channel equivalently into three layers in HSV color space: Retinex enhancement layer, brightness enhancement la-yer, detail enhancement layer. In Retinex enhancement layer, this paper combined with weighted guided image filtering and morphology to eliminate halo phenomenon. It improved Retinex model to enhance brightness and details of images. In detail enhancement layer, this paper used artificial bee colony algorithm to optimize improved model of local linear to obtain more details. Finally, this paper performed Gamma correction and pixel arrangement to avoid partial fuzzy details caused fusion. The experimental results show that the proposed method can more effectively highlight image details and improve the contrast. The comprehensive performance is superior while comparing with the related methods in terms of objective quantification, especially in Tenengrad index.

Foundation Support

国家重点研发计划重大科学仪器设备开发重点专项基金资助项目(2017YFF0108100)
重庆市产业类重点研发基金资助项目(cstc2017zdcy-zdzx0026)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.06.0572
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 2
Section: Technology of Graphic & Image
Pages: 584-587
Serial Number: 1001-3695(2020)02-059-0584-04

Publish History

[2020-02-05] Printed Article

Cite This Article

龙鑫, 何国田. 基于多层融合和细节恢复的图像增强方法 [J]. 计算机应用研究, 2020, 37 (2): 584-587. (Long Xin, He Guotian. Image enhancement method based on multi-layer fusion and detail recovery [J]. Application Research of Computers, 2020, 37 (2): 584-587. )

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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