Dual Exposure Fusion with Entropy-based Residual Filtering
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Heo, Yong Seok | - |
dc.contributor.author | Lee, Soochahn | - |
dc.contributor.author | Jung, Ho Yub | - |
dc.date.accessioned | 2021-08-11T14:44:27Z | - |
dc.date.available | 2021-08-11T14:44:27Z | - |
dc.date.issued | 2017-05-31 | - |
dc.identifier.issn | 1976-7277 | - |
dc.identifier.issn | 1976-7277 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/7552 | - |
dc.description.abstract | This paper presents a dual exposure fusion method for image enhancement. Images taken with a short exposure time usually contain a sharp structure, but they are dark and are prone to be contaminated by noise. In contrast, long-exposure images are bright and noise-free, but usually suffer from blurring artifacts. Thus, we fuse the dual exposures to generate an enhanced image that is well-exposed, noise-free, and blur-free. To this end, we present a new scale-space patch-match method to find correspondences between the short and long exposures so that proper color components can be combined within a proposed dual non-local (DNL) means framework. We also present a residual filtering method that eliminates the structure component in the estimated noise image in order to obtain a sharper and further enhanced image. To this end, the entropy is utilized to determine the proper size of the filtering window. Experimental results show that our method generates ghost-free, noise-free, and blur-free enhanced images from the short and long exposure pairs for various dynamic scenes. | - |
dc.format.extent | 21 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | 한국인터넷정보학회 | - |
dc.title | Dual Exposure Fusion with Entropy-based Residual Filtering | - |
dc.type | Article | - |
dc.publisher.location | 대한민국 | - |
dc.identifier.doi | 10.3837/tiis.2017.05.014 | - |
dc.identifier.scopusid | 2-s2.0-85020112539 | - |
dc.identifier.wosid | 000402492000014 | - |
dc.identifier.bibliographicCitation | KSII Transactions on Internet and Information Systems, v.11, no.5, pp 2555 - 2575 | - |
dc.citation.title | KSII Transactions on Internet and Information Systems | - |
dc.citation.volume | 11 | - |
dc.citation.number | 5 | - |
dc.citation.startPage | 2555 | - |
dc.citation.endPage | 2575 | - |
dc.type.docType | Article | - |
dc.identifier.kciid | ART002234457 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.description.journalRegisteredClass | kci | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Telecommunications | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Telecommunications | - |
dc.subject.keywordAuthor | Exposure Fusion | - |
dc.subject.keywordAuthor | Image Enhancement | - |
dc.subject.keywordAuthor | Patch Match | - |
dc.subject.keywordAuthor | Residual Filtering | - |
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