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Fast image dehazing based on multi-scale guided filtering
Author(s): Thuong Van Nguyen; An Gia Vien; Chul Lee
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Paper Abstract

We propose a fast image dehazing algorithm based on multi-scale guided filtering. We first construct an image pyramid from a hazy input image. Then, based on the observation that the most time-consuming procedure is the estimation of the transmission map and atmospheric light, we estimate them only at the coarsest level. Then, we obtain the transmission map at the finest level by upsampling and guided image filtering. Experimental results show that the proposed algorithm is capable of real-time operation, while providing comparable or even better performance than the state-of-the-art algorithms.

Paper Details

Date Published: 22 March 2019
PDF: 5 pages
Proc. SPIE 11049, International Workshop on Advanced Image Technology (IWAIT) 2019, 110490Z (22 March 2019); doi: 10.1117/12.2521490
Show Author Affiliations
Thuong Van Nguyen, Pukyong National Univ. (Korea, Republic of)
An Gia Vien, Pukyong National Univ. (Korea, Republic of)
Chul Lee, Pukyong National Univ. (Korea, Republic of)


Published in SPIE Proceedings Vol. 11049:
International Workshop on Advanced Image Technology (IWAIT) 2019
Qian Kemao; Kazuya Hayase; Phooi Yee Lau; Wen-Nung Lie; Yung-Lyul Lee; Sanun Srisuk; Lu Yu, Editor(s)

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