DocumentCode :
638996
Title :
Hazy image enhancement based on the full-saturation assumption
Author :
Yangyang Xiang ; Sahay, Rajiv R. ; Kankanhalli, Mohan S.
Author_Institution :
Nat. Univ. of Singapore, Singapore, Singapore
fYear :
2013
fDate :
15-19 July 2013
Firstpage :
1
Lastpage :
4
Abstract :
In this paper, we present an algorithm that can successfully improve the quality of hazy images and offer visually-pleasant haze-free results with vivid colors. We propose the full-saturation assumption (FSA) based on the aesthetic photographic effect: photos of vivid colors are visually pleasant, and first recover the degraded saturation layer. The depth image is also obtained as a by-product. We then apply an example-based approach to avoid over-saturation. The proposed assumption can also serve as a criterion to evaluate the degree of haze removal. Results are shown on various images to demonstrate its competence.
Keywords :
image colour analysis; image enhancement; FSA; aesthetic photographic effect; degraded saturation layer recovery; depth image; example-based approach; full-saturation assumption; haze removal; hazy image enhancement; hazy image quality; visually-pleasant haze-free results; vivid color photo; Abstracts; Educational institutions; Image enhancement; Dehazing; Image Enhancement; Image Processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Expo Workshops (ICMEW), 2013 IEEE International Conference on
Conference_Location :
San Jose, CA
Type :
conf
DOI :
10.1109/ICMEW.2013.6618277
Filename :
6618277
Link To Document :
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