Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

움직임영역을 고려한 연속영상 초해상도 영상 복원

Full metadata record
DC Field Value Language
dc.contributor.author조성민-
dc.contributor.author정우진-
dc.contributor.author장경현-
dc.contributor.author최병인-
dc.contributor.author문영식-
dc.date.accessioned2021-06-22T15:04:38Z-
dc.date.available2021-06-22T15:04:38Z-
dc.date.issued2017-03-
dc.identifier.issn1598-849X-
dc.identifier.issn2383-9945-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/11191-
dc.description.abstractIn this paper, we propose a consecutive-frame super-resolution method to tackle a moving object problem. The super-resolution is a method restoring a high resolution image from a low resolution image. The super-resolution is classified into two types, briefly, single-frame super-resolution and consecutive-frame super-resolution. Typically, the consecutive-frame super-resolution recovers a better than the single-frame super-resolution, because it use more information from consecutive frames. However, the consecutive-frame super-resolution failed to recover the moving object. Therefore, we proposed an improved method via moving object detection. Experimental results showed that the proposed method restored both the moving object and the background properly.-
dc.format.extent7-
dc.language한국어-
dc.language.isoKOR-
dc.publisher한국컴퓨터정보학회-
dc.title움직임영역을 고려한 연속영상 초해상도 영상 복원-
dc.title.alternativeConsecutive-Frame Super-Resolution considering Moving Object Region-
dc.typeArticle-
dc.publisher.location대한민국-
dc.identifier.doi10.9708/jksci.2017.22.03.045-
dc.identifier.bibliographicCitation한국컴퓨터정보학회논문지, v.22, no.3, pp 45 - 51-
dc.citation.title한국컴퓨터정보학회논문지-
dc.citation.volume22-
dc.citation.number3-
dc.citation.startPage45-
dc.citation.endPage51-
dc.identifier.kciidART002210282-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthorSuper-resolution-
dc.subject.keywordAuthorConsecutive-frame-
dc.subject.keywordAuthorMulti-frame-
dc.subject.keywordAuthorMoving Object Detection-
dc.identifier.urlhttps://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE07131306-
Files in This Item
Go to Link
Appears in
Collections
COLLEGE OF COMPUTING > SCHOOL OF COMPUTER SCIENCE > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE