dc.citation.conferencePlace |
CO |
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dc.citation.conferencePlace |
Prague |
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dc.citation.endPage |
1276 |
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dc.citation.startPage |
1273 |
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dc.citation.title |
36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 |
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dc.contributor.author |
Kim, Jin-Hwan |
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dc.contributor.author |
Sim, Jae-Young |
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dc.contributor.author |
Kim, Chang-Su |
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dc.date.accessioned |
2023-12-20T03:06:42Z |
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dc.date.available |
2023-12-20T03:06:42Z |
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dc.date.created |
2013-07-17 |
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dc.date.issued |
2011-05-22 |
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dc.description.abstract |
A simple and adaptive single image dehazing algorithm is proposed in this work. Based on the observation that a hazy image has low contrast in general, we attempt to restore the original image by enhancing the contrast. First, the proposed algorithm estimates the airlight in a given hazy image based on the quad-tree subdivision. Then, the proposed algorithm estimates the transmission map to maximize the contrast of the output image. To measure the contrast, we develop a cost function, which consists of a standard deviation term and a histogram uniformness term. Experimental results demonstrate that the proposed algorithm can remove haze efficiently and reconstruct fine details in original scenes clearly. |
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dc.identifier.bibliographicCitation |
36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011, pp.1273 - 1276 |
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dc.identifier.doi |
10.1109/ICASSP.2011.5946643 |
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dc.identifier.issn |
1520-6149 |
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dc.identifier.scopusid |
2-s2.0-80051611718 |
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dc.identifier.uri |
https://scholarworks.unist.ac.kr/handle/201301/35739 |
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dc.identifier.url |
https://ieeexplore.ieee.org/document/5946643 |
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dc.language |
영어 |
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dc.publisher |
36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 |
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dc.title |
Single image dehazing based on contrast enhancement |
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dc.type |
Conference Paper |
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dc.date.conferenceDate |
2011-05-22 |
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