Comparison of Single Image Enhancement Techniques for Underwater Color Imaging

DC Field Value Language
dc.contributor.author 김도균 -
dc.contributor.author 권오순 -
dc.contributor.author 김수미 -
dc.date.accessioned 2020-07-15T06:50:53Z -
dc.date.available 2020-07-15T06:50:53Z -
dc.date.created 2020-02-11 -
dc.date.issued 2019-10-29 -
dc.identifier.uri https://sciwatch.kiost.ac.kr/handle/2020.kiost/22203 -
dc.description.abstract Underwater color images suffered from low visibility and color cast effect because of light attenuation by water and the floating particles. In order to enhance the quality of underwater images, we applied single image enhancement techniques and compared their performances with real underwater images taken in Korean sea. In this study, we considered dark channel prior-based, gradient-based, image fusion-based, and underwater generative adversarial network (UGAN) methods for single image enhancement. And the performances were evaluated in terms of underwater image quality measure (UIQM) and gray-world assumption. Image fusion and UGAN showed reasonable qualitative and quantitative performances enhancing the visibility and colorfulness. -
dc.description.uri 1 -
dc.language English -
dc.publisher IEEE Oceanic Engineering Society -
dc.relation.isPartOf Oceans 2019 -
dc.title Comparison of Single Image Enhancement Techniques for Underwater Color Imaging -
dc.type Conference -
dc.citation.conferencePlace US -
dc.citation.endPage 2 -
dc.citation.startPage 1 -
dc.citation.title Oceans 2019 -
dc.contributor.alternativeName 김도균 -
dc.contributor.alternativeName 권오순 -
dc.contributor.alternativeName 김수미 -
dc.identifier.bibliographicCitation Oceans 2019, pp.1 - 2 -
dc.description.journalClass 1 -
Appears in Collections:
Marine Industry Research Division > Maritime ICT & Mobility Research Department > 2. Conference Papers
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