Image Defogging algorithm Based on Image Bright and Dark Channels*

Shuhuan Wen, Yanfang Zhao, Jinrong Ma, Hak Keung Lam, Hongbin Wang

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

1 Citation (Scopus)

Abstract

This paper proposes an image defogging algorithm based on the combination of bright and dark channel in fog and haze weather. A model of the air light scattering is proposed based on the physical model of degraded image. Air light value and transmissivity are estimated by using the combination of light channel prior and dark channel prior. The algorithm can solve color distortion problem of sky area when fog-free image is restored, recover the image details and color, and improve the vision effect of the image. Evaluation parameters are used to compare the image quality. Simulation results show that the algorithm proposed in this paper is better than multi-scale Retinex image defogging algorithm.

Original languageEnglish
Title of host publication2018 WRC Symposium on Advanced Robotics and Automation, WRC SARA 2018 - Proceeding
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages326-333
Number of pages8
ISBN (Electronic)9781538676745
DOIs
Publication statusPublished - 19 Dec 2018
Event1st WRC Symposium on Advanced Robotics and Automation, WRC SARA 2018 - Beijing, China
Duration: 16 Aug 2018 → …

Conference

Conference1st WRC Symposium on Advanced Robotics and Automation, WRC SARA 2018
Country/TerritoryChina
CityBeijing
Period16/08/2018 → …

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