A Fast Noise-Robust Interpolation Method Based on Second-Order Directional-Derivatives
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Seung-Jun | - |
dc.contributor.author | Kim, Jong-Hwan | - |
dc.contributor.author | Kang, Seok-Jae | - |
dc.contributor.author | Choe, Wonhee | - |
dc.contributor.author | Ko, Sung-Jea | - |
dc.date.accessioned | 2021-09-04T13:52:57Z | - |
dc.date.available | 2021-09-04T13:52:57Z | - |
dc.date.created | 2021-06-18 | - |
dc.date.issued | 2015-08 | - |
dc.identifier.issn | 0098-3063 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/92880 | - |
dc.description.abstract | It is a challenging work to reproduce the high resolution (HR) image from a noisy low resolution input while preserving its edge structures. In this paper, a fast noise-robust interpolation method is proposed. In the proposed method, the edge information of a pixel to be interpolated is first estimated using a local curvature (LC), which is a second-order directional-derivative obtained from its local neighborhoods. Based on the edge information of the pixel, edge-adaptive interpolation with noise reduction is performed using the proposed LC adaptive filter whose kernel is adaptively determined by comparing the LC values along the two orthogonal directions. A refinement procedure is adopted to further enhance the edge information of the HR image by applying a Laplacian subtraction method using the pre-computed LC values. Experimental results show that the proposed method can preserve the edge sharpness while suppressing noise, with low computational complexity. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.subject | IMAGE INTERPOLATION | - |
dc.subject | ALGORITHM | - |
dc.title | A Fast Noise-Robust Interpolation Method Based on Second-Order Directional-Derivatives | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Ko, Sung-Jea | - |
dc.identifier.scopusid | 2-s2.0-84945128460 | - |
dc.identifier.wosid | 000363237100013 | - |
dc.identifier.bibliographicCitation | IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, v.61, no.3, pp.368 - 375 | - |
dc.relation.isPartOf | IEEE TRANSACTIONS ON CONSUMER ELECTRONICS | - |
dc.citation.title | IEEE TRANSACTIONS ON CONSUMER ELECTRONICS | - |
dc.citation.volume | 61 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 368 | - |
dc.citation.endPage | 375 | - |
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 | ALGORITHM | - |
dc.subject.keywordAuthor | Edge-preserving interpolation | - |
dc.subject.keywordAuthor | noise-robust interpolation | - |
dc.subject.keywordAuthor | second-order directional-derivative | - |
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.