Contrast Enhancement Based on Layered Difference Representation of 2D Histograms
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Chulwoo | - |
dc.contributor.author | Lee, Chul | - |
dc.contributor.author | Kim, Chang-Su | - |
dc.date.accessioned | 2021-09-05T18:21:42Z | - |
dc.date.available | 2021-09-05T18:21:42Z | - |
dc.date.created | 2021-06-15 | - |
dc.date.issued | 2013-12 | - |
dc.identifier.issn | 1057-7149 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/101434 | - |
dc.description.abstract | A novel contrast enhancement algorithm based on the layered difference representation of 2D histograms is proposed in this paper. We attempt to enhance image contrast by amplifying the gray-level differences between adjacent pixels. To this end, we obtain the 2D histogram h(k, k + l) from an input image, which counts the pairs of adjacent pixels with gray-levels k and k + l, and represent the gray-level differences in a tree-like layered structure. Then, we formulate a constrained optimization problem based on the observation that the gray-level differences, occurring more frequently in the input image, should be more emphasized in the output image. We first solve the optimization problem to derive the transformation function at each layer. We then combine the transformation functions at all layers into the unified transformation function, which is used to map input gray-levels to output gray-levels. Experimental results demonstrate that the proposed algorithm enhances images efficiently in terms of both objective quality and subjective quality. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.subject | IMAGE-ENHANCEMENT | - |
dc.subject | EQUALIZATION | - |
dc.title | Contrast Enhancement Based on Layered Difference Representation of 2D Histograms | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kim, Chang-Su | - |
dc.identifier.doi | 10.1109/TIP.2013.2284059 | - |
dc.identifier.scopusid | 2-s2.0-84903769098 | - |
dc.identifier.wosid | 000331203200017 | - |
dc.identifier.bibliographicCitation | IEEE TRANSACTIONS ON IMAGE PROCESSING, v.22, no.12, pp.5372 - 5384 | - |
dc.relation.isPartOf | IEEE TRANSACTIONS ON IMAGE PROCESSING | - |
dc.citation.title | IEEE TRANSACTIONS ON IMAGE PROCESSING | - |
dc.citation.volume | 22 | - |
dc.citation.number | 12 | - |
dc.citation.startPage | 5372 | - |
dc.citation.endPage | 5384 | - |
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.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.subject.keywordPlus | IMAGE-ENHANCEMENT | - |
dc.subject.keywordPlus | EQUALIZATION | - |
dc.subject.keywordAuthor | Image enhancement | - |
dc.subject.keywordAuthor | contrast enhancement | - |
dc.subject.keywordAuthor | histogram equalization | - |
dc.subject.keywordAuthor | 2D histogram | - |
dc.subject.keywordAuthor | layered difference representation | - |
dc.subject.keywordAuthor | constrained optimization | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(02841) 서울특별시 성북구 안암로 14502-3290-1114
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.