2D histogram equalisation based on the human visual system
DC Field | Value | Language |
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dc.contributor.author | Kim, S. -W. | - |
dc.contributor.author | Choi, B. -D. | - |
dc.contributor.author | Park, W. -J. | - |
dc.contributor.author | Ko, S. -J. | - |
dc.date.accessioned | 2021-09-04T01:30:28Z | - |
dc.date.available | 2021-09-04T01:30:28Z | - |
dc.date.created | 2021-06-17 | - |
dc.date.issued | 2016-03-17 | - |
dc.identifier.issn | 0013-5194 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/89198 | - |
dc.description.abstract | Histogram equalisation (HE) methods using the 2D histogram (2DH) have achieved a great success in contrast enhancement. The 2DH is constructed by using the occurrence of a local pixel pair (LPP) consisting of each pixel and its surrounding pixels. However, the 2DH-based methods often produce over-stretching artefacts because the low-textured regions primarily existing in the image induce a spike at some LPPs in the 2DH. To solve this problem, the 2DH is constructed by employing two properties of the human visual system (HVS) as follows: the HVS has the better brightness discrimination in the dark region according to Weber's law, and the HVS is less sensitive to visual artefacts in the higher-textured regions. To create a spike-free 2DH, a weighting function reflecting these two properties of the HVS is designed for the LPP. As compared with the popular 2DH-based methods, the HE with the proposed 2DH can effectively enhance the image contrast while achieving the best perceptual similarity score between the input and output images. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | INST ENGINEERING TECHNOLOGY-IET | - |
dc.subject | MODEL | - |
dc.title | 2D histogram equalisation based on the human visual system | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Ko, S. -J. | - |
dc.identifier.doi | 10.1049/el.2015.3956 | - |
dc.identifier.scopusid | 2-s2.0-84960877969 | - |
dc.identifier.wosid | 000371860000018 | - |
dc.identifier.bibliographicCitation | ELECTRONICS LETTERS, v.52, no.6, pp.443 - 444 | - |
dc.relation.isPartOf | ELECTRONICS LETTERS | - |
dc.citation.title | ELECTRONICS LETTERS | - |
dc.citation.volume | 52 | - |
dc.citation.number | 6 | - |
dc.citation.startPage | 443 | - |
dc.citation.endPage | 444 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.subject.keywordPlus | MODEL | - |
dc.subject.keywordAuthor | image enhancement | - |
dc.subject.keywordAuthor | 2D histogram equalisation method | - |
dc.subject.keywordAuthor | human visual system | - |
dc.subject.keywordAuthor | local pixel pair | - |
dc.subject.keywordAuthor | LPP | - |
dc.subject.keywordAuthor | 2DH-based method | - |
dc.subject.keywordAuthor | HVS | - |
dc.subject.keywordAuthor | brightness discrimination | - |
dc.subject.keywordAuthor | spike-free 2DH | - |
dc.subject.keywordAuthor | image contrast enhancement | - |
dc.subject.keywordAuthor | Weber law | - |
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