DocumentCode
1662435
Title
Single image haze removal with WLS-based edge-preserving smoothing filter
Author
Dubok Park ; Han, David K. ; Hanseok Ko
Author_Institution
Dept. Visual Inf. Process., Korea Univ., Seoul, South Korea
fYear
2013
Firstpage
2469
Lastpage
2473
Abstract
Images captured under hazy conditions have low contrast and poor color. This is primarily due to air-light which degrades image quality according to the transmission map. The approach to enhance these hazy images we introduce here is based on the `Dark-Channel Prior´ method with image refinement by the `Weighted Least Square´ based edge-preserving smoothing. Local contrast is further enhanced by multi-scale tone manipulation. The proposed method improves the contrast, color and detail for the entire image domain effectively. In the experiment, we compare the proposed method with conventional methods to validate performance.
Keywords
edge detection; image colour analysis; least squares approximations; smoothing methods; WLS-based edge-preserving smoothing filter; air-light; dark-channel prior method; hazy conditions; image color; image quality degradation; image refinement; local contrast; multiscale tone manipulation; single image haze removal; transmission map; weighted least square method; Atmospheric modeling; Computer vision; Conferences; Image color analysis; Image edge detection; Image restoration; Smoothing methods; Air-light; dehazing; image smoothing; multi-scale tone manipulation; transmission map;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
Conference_Location
Vancouver, BC
ISSN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2013.6638099
Filename
6638099
Link To Document