An image haze removal algorithm based on blockwise processing using LAB color space and bilateral filtering

被引：0
|
作者：
Dai, Fei [1 ]
Fan, Baojie [1 ]
Peng, Yan [2 ]
机构：
[1] Nanjing Univ Posts & Telecommunicat, Acad Automat, Nanjing 210023, Peoples R China
[2] Shanghai Univ, Sch Mech Engn & Automat, Shanghai, Peoples R China
来源：
PROCEEDINGS OF THE 30TH CHINESE CONTROL AND DECISION CONFERENCE (2018 CCDC) | 2018年
关键词：
Image haze removal; Dark channel prior; LAB color space; Bilateral filtering; Tolerance; Blockwise processing; ENHANCEMENT; VISIBILITY;
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：
In order to solve the problem in image haze removal algorithms based on dark channel prior like color distortion and blurred image edge information, an improved image haze removal algorithm based on blockwise processing is proposed. Firstly, we choose LAB color space instead of ROB color space. Then, bilateral filtering is used to preserve edge smoothly and refine the transmission map. Finally, we set the tolerance for blockwise processing to remove color distortion problem. The results demonstrate that, the new algorithm we proposed can successfully solve the problems like color distortion and blurred image edge information in image removal based on dark channel prior, the algorithm's running time is greatly reduced simultaneously.
引用
收藏
页码：5945 / 5948
页数：4
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