Single Image De-Hazing Using Globally Guided Image Filtering

Single Image De-Hazing Using Globally Guided Image Filtering
Title:
Single Image De-Hazing Using Globally Guided Image Filtering
Other Titles:
IEEE Transactions on Image Processing
Keywords:
Publication Date:
04 September 2017
Citation:
Z. Li and J. Zheng, "Single Image De-Hazing Using Globally Guided Image Filtering," in IEEE Transactions on Image Processing, vol. 27, no. 1, pp. 442-450, Jan. 2018. doi: 10.1109/TIP.2017.2750418
Abstract:
Local edge-preserving smoothing techniques such as guided image filtering (GIF) and weighted guided image filtering (WGIF) could not preserve fine structure. In this paper, a new globally guided image filtering (G-GIF) is introduced to overcome the problem. The proposed filter is applied to study single image haze removal. Experimental results show that fine structure of the dehazed image is indeed preserved better by the proposed G-GIF and the dehazed images by the proposed G-GIF are sharper than those dehazed images by the existing GIF.
License type:
PublisherCopyrights
Funding Info:
Description:
(c) 2017 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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