Edge-Preserving Decomposition-Based Single Image Haze Removal

Edge-Preserving Decomposition-Based Single Image Haze Removal
Title:
Edge-Preserving Decomposition-Based Single Image Haze Removal
Other Titles:
IEEE Transactions on Image Processing
DOI:
10.1109/TIP.2015.2482903
Publication Date:
28 September 2015
Citation:
Z. Li and J. Zheng, "Edge-Preserving Decomposition-Based Single Image Haze Removal," in IEEE Transactions on Image Processing, vol. 24, no. 12, pp. 5432-5441, Dec. 2015. doi: 10.1109/TIP.2015.2482903
Abstract:
Single image haze removal is under-constrained, because the number of freedoms is larger than the number of observations. In this paper, a novel edge-preserving decomposition-based method is introduced to estimate transmission map for a haze image so as to design a single image haze removal algorithm from the Koschmiedars law without using any prior. In particular, weighted guided image filter is adopted to decompose simplified dark channel of the haze image into a base layer and a detail layer. The transmission map is estimated from the base layer, and it is applied to restore the haze-free image. The experimental results on different types of images, including haze images, underwater images, and normal images without haze, show the performance of the proposed algorithm.
License type:
PublisherCopyrights
Funding Info:
Description:
(c) 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
ISSN:
1057-7149
1941-0042
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