Optimized contrast enhancement for real-time image and video dehazing
DC Field | Value | Language |
---|---|---|
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 | 2021-09-06T02:51:59Z | - |
dc.date.available | 2021-09-06T02:51:59Z | - |
dc.date.created | 2021-06-14 | - |
dc.date.issued | 2013-04 | - |
dc.identifier.issn | 1047-3203 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/103584 | - |
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. (c) 2013 Elsevier Inc. All rights reserved. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | ACADEMIC PRESS INC ELSEVIER SCIENCE | - |
dc.title | Optimized contrast enhancement for real-time image and video dehazing | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kim, Chang-Su | - |
dc.identifier.doi | 10.1016/j.jvcir.2013.02.004 | - |
dc.identifier.scopusid | 2-s2.0-84874823575 | - |
dc.identifier.wosid | 000317149200017 | - |
dc.identifier.bibliographicCitation | JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, v.24, no.3, pp.410 - 425 | - |
dc.relation.isPartOf | JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION | - |
dc.citation.title | JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION | - |
dc.citation.volume | 24 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 410 | - |
dc.citation.endPage | 425 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Software Engineering | - |
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 | - |
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