@inproceedings{bcf07e15450c4701853f3424cd496358,
title = "Single image dehazing using a novel criterion based segmenting dark channel prior",
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.",
keywords = "Guided image filtering, Region segmentation logic, Segmenting dark channel prior, Single image dehazing",
author = "Chao Zhang and Yanjun Zhang and Jihua Lu",
note = "Publisher Copyright: {\textcopyright} 2019 SPIE.; 11th International Conference on Graphics and Image Processing, ICGIP 2019 ; Conference date: 12-10-2019 Through 14-10-2019",
year = "2020",
doi = "10.1117/12.2557717",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Zhigeng Pan and Xun Wang",
booktitle = "Eleventh International Conference on Graphics and Image Processing, ICGIP 2019",
address = "United States",
}