Single Image Dehazing Algorithm Based on Modified Dark Channel Prior

被引：6
|
作者：
Zhou, Hao [1 ,2 ]
Zhang, Zhuangzhuang [3 ]
Liu, Yun [4 ]
Xuan, Meiyan [2 ]
Jiang, Weiwei [5 ]
Xiong, Hailing [1 ]
机构：
[1] Southwest Univ, Coll Comp & Informat Sci, Chongqing 400715, Peoples R China
[2] Chizhou Univ, Sch Big Data & Artificial Intelligence, Chizhou 247100, Anhui, Peoples R China
[3] CASI Vis Technol Luoyang Co Ltd, Luoyang 471000, Peoples R China
[4] Southwest Univ, Coll Artificial Intelligence, Chongqing 400715, Peoples R China
[5] Tsinghua Univ, Dept Elect Engn, Beijing 100084, Peoples R China
来源：
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS | 2021年 / E104D卷 / 10期
关键词：
image dehazing; dark channel prior; transmission compensation; atmospheric scattering model;
D O I：
10.1587/transinf.2021EDL8051
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Single image dehazing algorithm based on Dark Channel Prior (DCP) is widely known. More and more image dehazing algorithms based on DCP have been proposed. However, we found that it is more effective to use DCP in the RAW images before the ISP pipeline. In addition, for the problem of DCP failure in the sky area, we propose an algorithm to segment the sky region and compensate the transmission. Extensive experimental results on both subjective and objective evaluation demonstrate that the performance of the modified DCP (MDCP) has been greatly improved, and it is competitive with the state-of-the-art methods.
引用
收藏
页码：1758 / 1761
页数：4
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