Single Image-based Enhancement Techniques for Underwater Optical Imaging KCI

DC Field Value Language
dc.contributor.author Kim, Do Gyun -
dc.contributor.author Kim, Soo Mee -
dc.date.accessioned 2020-12-28T00:50:01Z -
dc.date.available 2020-12-28T00:50:01Z -
dc.date.created 2020-12-28 -
dc.date.issued 2020-11 -
dc.identifier.issn 1225-0767 -
dc.identifier.uri https://sciwatch.kiost.ac.kr/handle/2020.kiost/38973 -
dc.description.abstract Underwater color images suffer from low visibility and color cast effects caused by light attenuation by water and floating particles. This study applied single image enhancement techniques to enhance the quality of underwater images and compared their performance with real underwater images taken in Korean waters. Dark channel prior (DCP), gradient transform, image fusion, and generative adversarial networks (GAN), such as cycleGAN and underwater GAN (UGAN), were considered for single image enhancement. Their performance was evaluated in terms of underwater image quality measure, underwater color image quality evaluation, gray-world assumption, and blur metric. The DCP saturated the underwater images to a specific greenish or bluish color tone and reduced the brightness of the backgroundsignal. The gradient transform method with two transmission maps were sensitive to the light source and highlighted the region exposed to light. Although image fusion enabled reasonable color correction, the object details were lost due to the last fusion step. CycleGAN corrected overall color tone relatively well but generated artifacts in the background. UGAN showed good visual quality and obtained the highest scores against all figures of merit (FOMs) by compensating for the colors and visibility compared to the other single enhancement methods. -
dc.description.uri 2 -
dc.language English -
dc.publisher 한국해양공학회 -
dc.title Single Image-based Enhancement Techniques for Underwater Optical Imaging -
dc.type Article -
dc.citation.endPage 453 -
dc.citation.startPage 442 -
dc.citation.title Journal of Ocean Engineering and Technology -
dc.citation.volume 34 -
dc.citation.number 6 -
dc.contributor.alternativeName 김수미 -
dc.identifier.bibliographicCitation Journal of Ocean Engineering and Technology, v.34, no.6, pp.442 - 453 -
dc.identifier.doi 10.26748/KSOE.2020.030 -
dc.identifier.kciid ART002659672 -
dc.description.journalClass 2 -
dc.description.isOpenAccess N -
dc.subject.keywordAuthor Dark channel prior -
dc.subject.keywordAuthor Generative adversarial network -
dc.subject.keywordAuthor Gradient transform enhancement -
dc.subject.keywordAuthor Image fusion enhancement -
dc.subject.keywordAuthor Underwater color image -
dc.subject.keywordAuthor Single image enhancement -
dc.description.journalRegisteredClass kci -
Appears in Collections:
Marine Industry Research Division > Maritime ICT & Mobility Research Department > 1. Journal Articles
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