히스토그램 수정 프레임워크에서의 영상 대조비 개선
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 정우진 | - |
dc.contributor.author | 이종민 | - |
dc.contributor.author | 문영식 | - |
dc.date.accessioned | 2021-06-23T02:05:04Z | - |
dc.date.available | 2021-06-23T02:05:04Z | - |
dc.date.issued | 2013-11 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/26349 | - |
dc.description.abstract | In this paper, we propose an automatic contrast enhancement method without input parameters for Arici’s method. Arici’s method has shown a good performance in contrast enhancement. However, Arici’s method has a disadvantage that the method needs manual-parameters for each input image. Experimental results show that the proposed method has similar performance compared with Arici’s method. | - |
dc.format.extent | 3 | - |
dc.language | 한국어 | - |
dc.language.iso | KOR | - |
dc.publisher | 대한전자공학회 | - |
dc.title | 히스토그램 수정 프레임워크에서의 영상 대조비 개선 | - |
dc.title.alternative | An Improved Image Contrast Enhancement in Histogram Modification Framework | - |
dc.type | Article | - |
dc.publisher.location | 대한민국 | - |
dc.identifier.bibliographicCitation | 2013년 대한전자공학회 추계학술대회 논문집, pp 637 - 639 | - |
dc.citation.title | 2013년 대한전자공학회 추계학술대회 논문집 | - |
dc.citation.startPage | 637 | - |
dc.citation.endPage | 639 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | other | - |
dc.identifier.url | https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE02341508 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
55 Hanyangdeahak-ro, Sangnok-gu, Ansan, Gyeonggi-do, 15588, Korea+82-31-400-4269 sweetbrain@hanyang.ac.kr
COPYRIGHT © 2021 HANYANG 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.