A motion adaptive deinterlacing algorithm using improved motion detection
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yun, Janghyeok | - |
dc.contributor.author | Jun, Jeehyun | - |
dc.contributor.author | Jeon, Gwanggil | - |
dc.contributor.author | Jeong, Jechang | - |
dc.date.accessioned | 2022-07-16T11:16:00Z | - |
dc.date.available | 2022-07-16T11:16:00Z | - |
dc.date.created | 2021-05-13 | - |
dc.date.issued | 2013-02 | - |
dc.identifier.issn | 0000-0000 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/163446 | - |
dc.description.abstract | In this paper, a motion adaptive deinterlacing algorithm is proposed. It consists of three parts: (1) modified edge-based line average, (2) pixel-based consequent five-field motion detection, and (3) block-based local characteristic for detecting true motion and calculating the motion intensity by using an improved method which is able to detect the inner part of moving objects precisely as well as to reduce the risk of false detection caused by intrinsic noises in the image. Depending on the detected motion activity level, it combines spatial and temporal methods with weighting factor. Simulations conducted on several video sequences indicate that the performance of the proposed method is superior to the conventional methods in terms of both subjective and objective video quality. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | IASTED | - |
dc.title | A motion adaptive deinterlacing algorithm using improved motion detection | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Jeong, Jechang | - |
dc.identifier.doi | 10.2316/P.2013.798-073 | - |
dc.identifier.scopusid | 2-s2.0-84876589139 | - |
dc.identifier.bibliographicCitation | Proceedings of the IASTED International Conference on Signal Processing, Pattern Recognition and Applications, SPPRA 2013, pp.444 - 451 | - |
dc.relation.isPartOf | Proceedings of the IASTED International Conference on Signal Processing, Pattern Recognition and Applications, SPPRA 2013 | - |
dc.citation.title | Proceedings of the IASTED International Conference on Signal Processing, Pattern Recognition and Applications, SPPRA 2013 | - |
dc.citation.startPage | 444 | - |
dc.citation.endPage | 451 | - |
dc.type.rims | ART | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | Conventional methods | - |
dc.subject.keywordPlus | Format conversion | - |
dc.subject.keywordPlus | Local characteristics | - |
dc.subject.keywordPlus | Motion adaptive | - |
dc.subject.keywordPlus | Motion adaptive deinterlacing | - |
dc.subject.keywordPlus | Motion detection | - |
dc.subject.keywordPlus | Objective video quality | - |
dc.subject.keywordPlus | Video de-interlacing | - |
dc.subject.keywordPlus | Pattern recognition | - |
dc.subject.keywordPlus | Signal processing | - |
dc.subject.keywordPlus | Motion compensation | - |
dc.subject.keywordAuthor | Interlaced-to-progressive format conversion | - |
dc.subject.keywordAuthor | Motion adaptive | - |
dc.subject.keywordAuthor | Motion detection | - |
dc.subject.keywordAuthor | Video deinterlacing | - |
dc.identifier.url | https://www.actapress.com/PaperInfo.aspx?paperId=455045 | - |
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