Edge-Oriented Two-Step Interpolation Based on Training Set
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Ji-Hoon | - |
dc.contributor.author | Kim, Jong-Ok | - |
dc.contributor.author | Han, Jong-Woo | - |
dc.contributor.author | Choi, Kang-Sun | - |
dc.contributor.author | Ko, Sung-Jea | - |
dc.date.accessioned | 2021-09-08T01:20:51Z | - |
dc.date.available | 2021-09-08T01:20:51Z | - |
dc.date.created | 2021-06-14 | - |
dc.date.issued | 2010-08 | - |
dc.identifier.issn | 0098-3063 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/116001 | - |
dc.description.abstract | Preserving the sharpness of edge structures is highly challenging to image interpolation. In this paper, we propose an edge-oriented two-step interpolation method that utilizes an edge training set. For edge interpolation, the LR edge map is converted into the HR edge map by using the training set. Then, an image is classified into smooth and edge regions using the HR edge map, and both regions are interpolated separately. For edge regions, adaptive edge-oriented interpolation is performed by using the detailed edge structures learned from training. The proposed method is extensively evaluated, and its performance is compared with the conventional edge-based methods. Experimental results show that the proposed method can not only reconstruct the missed edge information by the training set, but also significantly reduce blurring and jagging artifacts around edges by separately interpolating smooth and edge regions(1). | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.subject | IMAGE INTERPOLATION | - |
dc.subject | RECONSTRUCTION | - |
dc.title | Edge-Oriented Two-Step Interpolation Based on Training Set | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kim, Jong-Ok | - |
dc.contributor.affiliatedAuthor | Ko, Sung-Jea | - |
dc.identifier.doi | 10.1109/TCE.2010.5606336 | - |
dc.identifier.scopusid | 2-s2.0-78149236525 | - |
dc.identifier.wosid | 000283943700096 | - |
dc.identifier.bibliographicCitation | IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, v.56, no.3, pp.1848 - 1855 | - |
dc.relation.isPartOf | IEEE TRANSACTIONS ON CONSUMER ELECTRONICS | - |
dc.citation.title | IEEE TRANSACTIONS ON CONSUMER ELECTRONICS | - |
dc.citation.volume | 56 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 1848 | - |
dc.citation.endPage | 1855 | - |
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.journalResearchArea | Telecommunications | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Telecommunications | - |
dc.subject.keywordPlus | IMAGE INTERPOLATION | - |
dc.subject.keywordPlus | RECONSTRUCTION | - |
dc.subject.keywordAuthor | Image Interpolation | - |
dc.subject.keywordAuthor | Edge-Oriented | - |
dc.subject.keywordAuthor | Training Set | - |
dc.subject.keywordAuthor | Edge Map | - |
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.