Single Image Haze Removal Based on Concentration Scale Prior

被引:0
|
作者
Li, Dongyang [1 ]
Tang, Guiying [1 ]
Zhao, Li [2 ]
Zhang, Xiaoqin [2 ]
Ye, Xiuzi [2 ]
机构
[1] Wenzhou Univ, Coll Math & Phys, Wenzhou, Zhejiang, Peoples R China
[2] Wenzhou Univ, Coll Comp Sci & Artificial Intelligence, Wenzhou, Zhejiang, Peoples R China
来源
2020 5TH INTERNATIONAL CONFERENCE ON COMPUTER AND COMMUNICATION SYSTEMS (ICCCS 2020) | 2020年
基金
中国国家自然科学基金;
关键词
dehaze; gamma transformation; prior; concentration;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Haze is a major degradation factor in outdoor images. Removing haze from a single image is an ill-posed problem and the performance of existing prior-based image dehazing methods is limited by the effectiveness of hand-designed features. In this paper, new dehazing method is introduced which is refined using gamma transformation and does not utilize the traditional atmospheric scattering model. The proposed method restores haze-free images without reference to corresponding clear image or estimating a depth-dependent transmission map. A novel, simple and powerful Concentration Scale Prior (CSP) is then utilized for haze removal in a single haze image to enhance gamma transformation, and its performance is verified. Experimental results show that the proposed approach achieves superior dehazing performance compared to current state-of-the-art methods.
引用
收藏
页码:309 / 313
页数:5
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