DocumentCode :
226572
Title :
Adaptive fast image dehazing algorithm
Author :
Cheng-Hsiung Hsieh ; Chih-Tsung Chen ; Yu-Sheng Lin
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Chaoyang Univ. of Technol., Taichung, Taiwan
fYear :
2014
fDate :
9-12 Dec. 2014
Firstpage :
1
Lastpage :
6
Abstract :
Recently, a single image haze removal scheme based on dark channel prior (DCP) is presented in [1] and is getting popular because of its satisfactory performance for most of cases. However, the DCP scheme has at least three problems: halos, high computational cost and over-exposure. In our previous paper [2], a dehazing algorithm with dual dark channels was presented where high computational cost and over-exposure problems are relieved. In this paper, the objective of proposed dehazing algorithm (PDA) is to relieve the three problems in [1] simultaneously. Four examples are given to verify the PDA where comparison with the DCP scheme is made as well. The simulation results indicate that the PDA is 87.87 times, on average, faster than the DCP in the given examples. Besides, in general better color situation is found for the PDA with similar visual quality and without the three problems in the DCP scheme.
Keywords :
image colour analysis; image restoration; DCP scheme; PDA; adaptive fast image dehazing algorithm; color situation; dark channel prior; dual dark channels; halos problem; high computational cost problem; image haze removal scheme; over-exposure problem; visual quality; Atmospheric modeling; Channel estimation; Computational efficiency; Flowcharts; Image color analysis; Personal digital assistants; Visualization; Dark channel prior; Halo; Haze removal; Over-exposure; Soft matting; Transmission refinement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Independent Computing (ISIC), 2014 IEEE International Symposium on
Conference_Location :
Orlando, FL
Type :
conf
DOI :
10.1109/INDCOMP.2014.7011755
Filename :
7011755
Link To Document :
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