Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICMEW.2013.6618277
Title: Hazy image enhancement based on the full-saturation assumption
Authors: Xiang, Y.
Sahay, R.R.
Kankanhalli, M.S. 
Keywords: Dehazing
Image Enhancement
Image Processing
Issue Date: 2013
Source: Xiang, Y.,Sahay, R.R.,Kankanhalli, M.S. (2013). Hazy image enhancement based on the full-saturation assumption. Electronic Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013 : -. ScholarBank@NUS Repository. https://doi.org/10.1109/ICMEW.2013.6618277
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. © 2013 IEEE.
Source Title: Electronic Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013
URI: http://scholarbank.nus.edu.sg/handle/10635/78168
ISBN: 9781479916047
DOI: 10.1109/ICMEW.2013.6618277
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