Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 7
2210-2216

Defogging traffic images with adaptive multi-state feature fusion algorithm

Hu Mengting
Fan Tao
Wang Guozhong
School of Electronic & Electrical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China
DOI: 10.19734/j.issn.1001-3695.2022.11.0530

Abstract

The quality of traffic images obtained outdoors in foggy weather is poor, and the use of existing algorithms will misestimate the atmospheric light values and transmittance, resulting in color distortion and halo phenomenon in the sky region, so that this paper proposed an adaptive multi-state feature fusion algorithm to remove fog from traffic images. According to the characteristics of the sky area in the foggy traffic images, the method used a light-dark area detection model to divide the sky and non-sky regions, and separately estimated the corresponding atmospheric light values to eliminate color distortion. At the same time, it created a multi-scale image decomposition model to automatically discover multi-state features pixel by pixel, and further based adaptive feature fusion strategy to highlight locally significant features and recombining the features, refining the precise transmission diagram, to solve the halo effect. The experimental results show that the visual effect of the new algorithm is real, the objective evaluation index is better than other classical algorithms, and is the shortest compared to time. The algorithm effectively solves color distortion and halo effect, satisfies fast speed and high precision requirements, and has important application value in the field of intelligent traffic construction.

Foundation Support

国家重点研发计划“宽带通信和新型网络”重点专项(2019YFB1802702)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.11.0530
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 7
Section: Technology of Graphic & Image
Pages: 2210-2216
Serial Number: 1001-3695(2023)07-044-2210-07

Publish History

[2023-01-05] Accepted Paper
[2023-07-05] Printed Article

Cite This Article

胡梦婷, 范涛, 王国中. 一种自适应多态特征融合的交通图像去雾算法 [J]. 计算机应用研究, 2023, 40 (7): 2210-2216. (Hu Mengting, Fan Tao, Wang Guozhong. Defogging traffic images with adaptive multi-state feature fusion algorithm [J]. Application Research of Computers, 2023, 40 (7): 2210-2216. )

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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