Technology of Graphic & Image
|
3174-3178

Dark channel prior image dehazing method based on optimization transmission and semi-inverse algorithm

Peng Liting
Li Bo
Hubei Key Laboratory of Intelligent Information Processing & Real-time Industrial System, Wuhan University of Science & Technology, Wuhan 430065, China

Abstract

In order to solve the phenomenon of the edges of the image produce light bands in the de-hazing process and the whole image's color becomes dim after de-hazing, this paper proposed a novel algorithm based on improved transmission and semi-inverse algorithm. Aiming at the dark channel prior failure at the edge of the image, a transmission correction mechanism is proposed in this paper to eliminate the band phenomenon at the edge and improve the application of the dark channel prior. Secondly, based on the atmospheric scattering model, the atmospheric light is obtained by using the semi-inverse algorithm. Then for the situation that the color of the whole image become dim after de-hazing, the image contrast algorithm based on wavelet transform is used to enhance the stretching treatment and improve the visual effect of image. The experimental results show that the algorithm can remove fog more effectively, and the ability to de-haze is better than the original algorithm.

Foundation Support

国家自然科学基金资助项目(61572381,61273303)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.03.0329
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 10
Section: Technology of Graphic & Image
Pages: 3174-3178
Serial Number: 1001-3695(2019)10-066-3174-05

Publish History

[2019-10-05] Printed Article

Cite This Article

彭莉婷, 李波. 基于优化后透射率和半逆法的暗通道图像去雾方法 [J]. 计算机应用研究, 2019, 36 (10): 3174-3178. (Peng Liting, Li Bo. Dark channel prior image dehazing method based on optimization transmission and semi-inverse algorithm [J]. Application Research of Computers, 2019, 36 (10): 3174-3178. )

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  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
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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.

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