Paper Info
Title
Single Image Haze Removal Using Weak Dark Channel Prior
Abstract
Haze removal or dehazing has been a challenge in the field of image restoration. Recently, He et al.. proposed a single image dehazing scheme based on an interesting statistical prior called the dark channel prior (DCP). By the DCP, two parameters in the haze image model, the atmospheric light and the transmission map, can be estimated easily. Consequently, the DCP scheme has attracted much attention in this field. Note that the DCP scheme relies on the block-based dark channel which is considered as a strong DCP assumption. In this paper, a pixel-based dark channel is introduced through which the atmospheric light and the transmission map are estimated. The pixel-based dark channel is considered as a weak DCP (WDCP) since its statistical property is not as strong as that in the block-based dark channel. With a similar manner in the DCP scheme, the atmospheric light is estimated through the pixel-based dark channel. To make the pixel-based dark channel feasible in the transmission map estimation, an adaptive scaling factor for the initial transmission map is employed and the pixel-based dark channel is applied as the guide image in the transmission map refinement by the guided image filtering. Furthermore, an objective assessment is used to evaluate the proposed WDCP scheme and the compared DCP scheme. Simulation results indicate that the proposed WDCP scheme is more efficient, 24.30 times faster than the DCP scheme on average. Moreover, the proposed WDCP scheme is of better subjective visual quality than the DCP scheme and the employed objective assessment generally agrees with the results in the given examples.
Year
DOI
Venue
2018
10.1109/ICAwST.2018.8517198
2018 9th International Conference on Awareness Science and Technology (iCAST)
Keywords
Field
DocType
image restoration,haze removal dark channel prior,transmission map refinement,guided imagefiltering
Scale factor,Computer science,Algorithm,Communication channel,Filter (signal processing),Pixel,Image restoration,Haze
Conference
ISSN
ISBN
Citations 
2325-5986
978-1-5386-5827-7
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Cheng-Hsiung Hsieh131.07
Qiangfu Zhao221462.36
Wen-Chang Cheng3172.15