Single image dehazing using a novel criterion based segmenting dark channel prior

Chao Zhang; Yanjun Zhang; Jihua Lu

doi:10.1117/12.2557717

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3 January 2020 Single image dehazing using a novel criterion based segmenting dark channel prior

Chao Zhang, Yanjun Zhang, Jihua Lu

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Proceedings Volume 11373, Eleventh International Conference on Graphics and Image Processing (ICGIP 2019); 1137319 (2020) https://doi.org/10.1117/12.2557717
Event: Eleventh International Conference on Graphics and Image Processing, 2019, Hangzhou, China

Abstract

Single image dehazing has become a hot issue in image processing. Almost all the dehazing algorithms suffer from two problems: bringing out the halo artifacts or high computational complexity. In this paper, we propose a novel single image dehazing algorithm with a modified criterion based segmenting dark channel prior (SDCP), which is simple and effective. Based on the estimated global atmospheric light, the transmission map (TM) is obtained by a novel region segmenting logic. Then, the TM is smoothed by guided image filtering (GF) with the edge information being preserved. Experiments reveal that the proposed algorithm eliminates the halo artifacts more effectively than SDCP or GF based dark channel prior (DCP) both subjectively and objectively. Also, it is faster than the soft matting based DCP.

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Chao Zhang, Yanjun Zhang, and Jihua Lu "Single image dehazing using a novel criterion based segmenting dark channel prior", Proc. SPIE 11373, Eleventh International Conference on Graphics and Image Processing (ICGIP 2019), 1137319 (3 January 2020); https://doi.org/10.1117/12.2557717

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