Radiance-Reflectance Combined Optimization and Structure-Guided ℓ0-Norm for Single Image Dehazing
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Shin, Joongchol | - |
dc.contributor.author | Kim, Minseo | - |
dc.contributor.author | Paik, Joonki | - |
dc.contributor.author | Lee, Sangkeun | - |
dc.date.available | 2020-04-10T02:22:32Z | - |
dc.date.issued | 2020-01 | - |
dc.identifier.issn | 1520-9210 | - |
dc.identifier.issn | 1941-0077 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/38193 | - |
dc.description.abstract | Outdoor images are subject to degradation regarding contrast and color because atmospheric particles scatter incoming light to a camera. Existing haze models that employ model-based dehazing methods cannot avoid the dehazing artifacts. These artifacts include color distortion and overenhancement around object boundaries because of the incorrect transmission estimation from a depth error in the skyline and the wrong haze information, especially in bright objects. To overcome this problem, we present a novel optimization-based dehazing algorithm that combines radiance and reflectance components with an additional refinement using a structure-guided ℓ0-norm filter. More specifically, we first estimate a weak reflectance map and optimize the transmission map based on the estimated reflectance map. Next, we estimate the structure-guided ℓ0 transmission map to remove the dehazing artifacts. The experimental results show that the proposed method outperforms state-of-the-art algorithms in terms of qualitative and quantitative measures compared with simulated image pairs. In addition, the real-world enhancement results demonstrate that the proposed method can provide a high-quality image without undesired artifacts. Furthermore, the guided ℓ0-norm filter can remove textures while preserving edges for general image enhancement algorithms. | - |
dc.format.extent | 15 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.title | Radiance-Reflectance Combined Optimization and Structure-Guided ℓ0-Norm for Single Image Dehazing | - |
dc.type | Article | - |
dc.identifier.doi | 10.1109/TMM.2019.2922127 | - |
dc.identifier.bibliographicCitation | IEEE TRANSACTIONS ON MULTIMEDIA, v.22, no.1, pp 30 - 44 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.wosid | 000506577000005 | - |
dc.identifier.scopusid | 2-s2.0-85077793267 | - |
dc.citation.endPage | 44 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 30 | - |
dc.citation.title | IEEE TRANSACTIONS ON MULTIMEDIA | - |
dc.citation.volume | 22 | - |
dc.type.docType | Article | - |
dc.publisher.location | 미국 | - |
dc.subject.keywordAuthor | ℓ0-norm | - |
dc.subject.keywordAuthor | gradient | - |
dc.subject.keywordAuthor | dehazing | - |
dc.subject.keywordAuthor | edge-preserving filtering | - |
dc.subject.keywordAuthor | optimization | - |
dc.subject.keywordAuthor | guided filtering | - |
dc.subject.keywordPlus | CONTRAST ENHANCEMENT | - |
dc.subject.keywordPlus | REAL-TIME | - |
dc.subject.keywordPlus | VISIBILITY | - |
dc.subject.keywordPlus | FRAMEWORK | - |
dc.subject.keywordPlus | FEATURES | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Telecommunications | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Software Engineering | - |
dc.relation.journalWebOfScienceCategory | Telecommunications | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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