There are no files associated with this item.
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.citation.endPage | 425 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 410 | - |
dc.citation.title | JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION | - |
dc.citation.volume | 24 | - |
dc.contributor.author | Kim, Jin-Hwan | - |
dc.contributor.author | Jang, Won-Dong | - |
dc.contributor.author | Sim, Jae-Young | - |
dc.contributor.author | Kim, Chang-Su | - |
dc.date.accessioned | 2023-12-22T04:08:39Z | - |
dc.date.available | 2023-12-22T04:08:39Z | - |
dc.date.created | 2013-07-02 | - |
dc.date.issued | 2013-04 | - |
dc.description.abstract | A fast and optimized dehazing algorithm for hazy images and videos is proposed in this work. Based on the observation that a hazy image exhibits low contrast in general, we restore the hazy image by enhancing its contrast. However, the overcompensation of the degraded contrast may truncate pixel values and cause information loss. Therefore, we formulate a cost function that consists of the contrast term and the information loss term. By minimizing the cost function, the proposed algorithm enhances the contrast and preserves the information optimally. Moreover, we extend the static image dehazing algorithm to real-time video dehazing. We reduce flickering artifacts in a dehazed video sequence by making transmission values temporally coherent. Experimental results show that the proposed algorithm effectively removes haze and is sufficiently fast for real-time dehazing applications. | - |
dc.identifier.bibliographicCitation | JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, v.24, no.3, pp.410 - 425 | - |
dc.identifier.doi | 10.1016/j.jvcir.2013.02.004 | - |
dc.identifier.issn | 1047-3203 | - |
dc.identifier.scopusid | 2-s2.0-84874823575 | - |
dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/3376 | - |
dc.identifier.url | http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84874823575 | - |
dc.identifier.wosid | 000317149200017 | - |
dc.language | 영어 | - |
dc.publisher | ACADEMIC PRESS INC ELSEVIER SCIENCE | - |
dc.title | Optimized contrast enhancement for real-time image and video dehazing | - |
dc.type | Article | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems; Computer Science, Software Engineering | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordAuthor | Image dehazing | - |
dc.subject.keywordAuthor | Video dehazing | - |
dc.subject.keywordAuthor | Image restoration | - |
dc.subject.keywordAuthor | Contrast enhancement | - |
dc.subject.keywordAuthor | Temporal coherence | - |
dc.subject.keywordAuthor | Image enhancement | - |
dc.subject.keywordAuthor | Optimized dehazing | - |
dc.subject.keywordAuthor | Atmospheric light estimation | - |
dc.subject.keywordPlus | SINGLE IMAGE | - |
Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Tel : 052-217-1404 / Email : scholarworks@unist.ac.kr
Copyright (c) 2023 by UNIST LIBRARY. All rights reserved.
ScholarWorks@UNIST was established as an OAK Project for the National Library of Korea.