Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 4
1228-1231

Fast algorithm for image defogging by eliminating halo effect and preserving details

Xie Wei1
Yu Jin1
Tu Zhigang2
Long Xueling1
Hu Huanjun1
1. School of Computing, Central China Normal University, Wuhan 430070, China
2. School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore
DOI: 10.19734/j.issn.1001-3695.2017.11.0776

Abstract

Due to the existing image defogging algorithm based on atmospheric scattering model, the defogging process would inevitablely have a halo effect and details were lost, this paper proposed a fast defogging algorithm for eliminating halo effect and keep the detail information of the image. The algorithm first used space division level method based on four tree sub to get more accurate atmospheric light value. Through analysis of the atmospheric dispersion consumption function, it used the improved gradient information fusion filter to get the accurate estimation of atmospheric dispersion consumption function, and adaptively got the threshold of image minimum and average value of atmospheric optical, and calculated the transmission map. Finally it inversion recovered no fog image, and adjusted the brightness of the restored image. Experiment results show the algorithm can effectively suppress the halo effect in fog removal, and can preserve more details and reduce the running time by about twice. The improved guide filter by fusion gradient information can better eliminate the halo effect effectively, and has better robustness and time complexity. This algorithm is suitable for transportation and other outdoor scenes to defog.

Foundation Support

国家自然科学基金资助项目(61501198)
武汉市青年科技晨光计划资助项目(2014072704011248)
湖北省自然科学基金面上项目(2014CFB461)
华中师范大学中央高校基本科研业务费资助项目(CCNU14A05017)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.11.0776
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 4
Section: Technology of Graphic & Image
Pages: 1228-1231
Serial Number: 1001-3695(2019)04-060-1228-04

Publish History

[2019-04-05] Printed Article

Cite This Article

谢伟, 余瑾, 涂志刚, 等. 消除光晕效应和保持细节信息的图像快速去雾算法 [J]. 计算机应用研究, 2019, 36 (4): 1228-1231. (Xie Wei, Yu Jin, Tu Zhigang, et al. Fast algorithm for image defogging by eliminating halo effect and preserving details [J]. Application Research of Computers, 2019, 36 (4): 1228-1231. )

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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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