Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 5
1553-1556

Color preserved self-adaptive single image defogging method

Tang Hui
Ren Jiewen
Bao Xudong
School of Computer Science & Engineering, Southeast University, Nanjing 210096, China
DOI: 10.19734/j.issn.1001-3695.2018.10.0850

Abstract

The single image haze removal algorithm based on dark channel priori is currently the most efficient image defogging technology. However, when the image does not fully satisfy the dark channel priori, many artifacts and color distortion will appear in the processed image, so that the method should be modified according to the image situation. This paper proposed the hypothesis that the brighter the scene, the less credible the dark channel priori would be; the lower the scene saturation, the less credible the dark channel priori would be. Based on this assumption, this paper designed an image's dark channel confidence to limit the dark channel value when the scene didn't fully satisfy the dark channel prior. Furthermore, the image was post-enhanced to improve the visual effect. It selected three typical fog weather images to verify the effectiveness of the proposed method. The experimental results show that the proposed algorithm performs better in preserving color and removing artifacts comparing to some current related defogging algorithms. A new dark channel confidence calculation method is designed to overcome the problem that the estimation of dark channel value will be too large when the image scene does not fully satisfy the dark channel priori. The proposed method improves the adaptability of the dark channel priori defogging model to different foggy scenes.

Foundation Support

江苏省自然科学基金青年基金资助项目(BK20150647)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.10.0850
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 5
Section: Technology of Graphic & Image
Pages: 1553-1556
Serial Number: 1001-3695(2020)05-056-1553-04

Publish History

[2020-05-05] Printed Article

Cite This Article

唐慧, 任杰文, 鲍旭东. 减少色彩失真的自适应单幅图像去雾算法 [J]. 计算机应用研究, 2020, 37 (5): 1553-1556. (Tang Hui, Ren Jiewen, Bao Xudong. Color preserved self-adaptive single image defogging method [J]. Application Research of Computers, 2020, 37 (5): 1553-1556. )

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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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