TY - GEN
T1 - Single image dehazing using Hölder coefficient
AU - Shang, Dehao
AU - Wang, Tingting
AU - Fang, Faming
N1 - Publisher Copyright:
© Springer International Publishing AG 2016.
PY - 2016
Y1 - 2016
N2 - Restoring the true scene appearance from hazy image is a challenging task and one of a most necessary part in image processing system. As we know, the clear-day image must have higher contrast compared to the hazy image. Our main idea is that the hazy image is enhanced based on this observation to achieve dehazing objective. Firstly, we use a new metric, simple but powerful Hölder coefficient, to estimate the hazy density roughly. In order to make the estimation density map more reasonable, we apply proposed energy function to refine it. Based on the refined map, we propose a new method to estimate the atmosphere light. Secondly, three new terms, which are used to enhance image, are modeled into energy function. Solving this energy function, transmission map can be obtained. Finally, we get haze-free image by using the transmission map. Experiment results demonstrate that our algorithm has similar or better performance compared to the state-of-art algorithms.
AB - Restoring the true scene appearance from hazy image is a challenging task and one of a most necessary part in image processing system. As we know, the clear-day image must have higher contrast compared to the hazy image. Our main idea is that the hazy image is enhanced based on this observation to achieve dehazing objective. Firstly, we use a new metric, simple but powerful Hölder coefficient, to estimate the hazy density roughly. In order to make the estimation density map more reasonable, we apply proposed energy function to refine it. Based on the refined map, we propose a new method to estimate the atmosphere light. Secondly, three new terms, which are used to enhance image, are modeled into energy function. Solving this energy function, transmission map can be obtained. Finally, we get haze-free image by using the transmission map. Experiment results demonstrate that our algorithm has similar or better performance compared to the state-of-art algorithms.
KW - Contrast enhancement
KW - Dehazing
KW - Hölder coefficient
UR - https://www.scopus.com/pages/publications/84992642862
U2 - 10.1007/978-3-319-47650-6_25
DO - 10.1007/978-3-319-47650-6_25
M3 - 会议稿件
AN - SCOPUS:84992642862
SN - 9783319476490
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 314
EP - 324
BT - Knowledge Science, Engineering and Management - 9th International Conference, KSEM 2016, Proceedings
A2 - Lehner, Franz
A2 - Fteimi, Nora
PB - Springer Verlag
T2 - 9th International Conference on Knowledge Science, Engineering and Management, KSEM 2016
Y2 - 5 October 2016 through 7 October 2016
ER -