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Single Image Haze Removal Based on a Simple Additive Model With Haze Smoothness Prior.

Authors :
Zhang, Xiaoqin
Wang, Tao
Tang, Guiying
Zhao, Li
Xu, Yuewang
Maybank, Stephen
Source :
IEEE Transactions on Circuits & Systems for Video Technology. Jun2022, Vol. 32 Issue 6, p3490-3499. 10p.
Publication Year :
2022

Abstract

Single image haze removal, which is to recover the clear version of a hazy image, is a challenging task in computer vision. In this paper, an additive haze model is proposed to approximate the hazy image formation process. In contrast with the traditional optical model, it regards the haze as an additive layer to a clean image. The model thus avoids estimating the medium transmission rate and the global atmospherical light. In addition, based on a critical observation that haze changes gradually and smoothly across the image, a haze smoothness prior is proposed to constrain this model. This prior assumes that the haze layer is much smoother than the clear image. Benefiting from this prior, we can directly separate the clean image from a single hazy image. Experimental results and comparisons with synthetic images and real-world images demonstrate that the proposed method outperforms state-of-the-art single image haze removal algorithms. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10518215
Volume :
32
Issue :
6
Database :
Academic Search Index
Journal :
IEEE Transactions on Circuits & Systems for Video Technology
Publication Type :
Academic Journal
Accession number :
157258484
Full Text :
https://doi.org/10.1109/TCSVT.2021.3114601