DeepSelfie: Single-Shot Low-Light Enhancement for Selfies
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lu, Yucheng | - |
dc.contributor.author | Kim, Dong-Wook | - |
dc.contributor.author | Jung, Seung-Won | - |
dc.date.accessioned | 2021-08-31T15:58:16Z | - |
dc.date.available | 2021-08-31T15:58:16Z | - |
dc.date.created | 2021-06-19 | - |
dc.date.issued | 2020 | - |
dc.identifier.issn | 2169-3536 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/58932 | - |
dc.description.abstract | Taking a high-quality selfie photo in a low-light environment is challenging. Because the foreground and background often have different illumination conditions, they suffer heavily from over/under-exposure issues and cannot be treated in the same manner when applying image enhancement algorithms. In this work, we propose DeepSelfie, a learning-based image enhancement framework for low-light selfie photos. We address selfie enhancement as a dual-layer image enhancement problem. The foreground and background are thus separately enhanced and combined together via image fusion. To train the selfie enhancement network, we also introduce a method of synthesizing pairs of noisy and dark raw selfie images and their corresponding well-illuminated images. Through extensive experiments of no-reference image quality assessment as well as human subjective evaluation, we show that DeepSelfie provides better results in comparison to several state-of-the-art methods. The code and datasets can be found at https://sites.google.com/view/deepselfie. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.subject | IMAGE | - |
dc.subject | RETINEX | - |
dc.title | DeepSelfie: Single-Shot Low-Light Enhancement for Selfies | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Jung, Seung-Won | - |
dc.identifier.doi | 10.1109/ACCESS.2020.3006525 | - |
dc.identifier.scopusid | 2-s2.0-85088288551 | - |
dc.identifier.wosid | 000553556200001 | - |
dc.identifier.bibliographicCitation | IEEE ACCESS, v.8, pp.121424 - 121436 | - |
dc.relation.isPartOf | IEEE ACCESS | - |
dc.citation.title | IEEE ACCESS | - |
dc.citation.volume | 8 | - |
dc.citation.startPage | 121424 | - |
dc.citation.endPage | 121436 | - |
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.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Telecommunications | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Telecommunications | - |
dc.subject.keywordPlus | IMAGE | - |
dc.subject.keywordPlus | RETINEX | - |
dc.subject.keywordAuthor | Deep learning | - |
dc.subject.keywordAuthor | image enhancement | - |
dc.subject.keywordAuthor | low-light enhancement | - |
dc.subject.keywordAuthor | selfie | - |
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