Fast image filtering via adaptive noise detection
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Nguyen, T.-A. | - |
dc.contributor.author | Oh, J.-G. | - |
dc.contributor.author | Hong, M.-C. | - |
dc.date.available | 2019-04-10T10:19:45Z | - |
dc.date.created | 2018-04-17 | - |
dc.date.issued | 2014 | - |
dc.identifier.isbn | 9781450330602 | - |
dc.identifier.uri | http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/32769 | - |
dc.description.abstract | This work develops a spatially white Gaussian noise detection algorithm for blind image filtering. First, the noise component as well as the noise level are estimated by using the local statistics from an observed degraded image. Then, the first order Markov Random Field is effectively used to control the noise detection performance. Finally, pixels, the adaptive weighted filter with the resizable patches is adopted to restore the detected noisy pixels. Numerous simulations have been conducted to demonstrate the effectiveness of the proposed method. © 2014 ACM. | - |
dc.publisher | Association for Computing Machinery, Inc | - |
dc.relation.isPartOf | Proceedings of the 2014 Research in Adaptive and Convergent Systems, RACS 2014 | - |
dc.title | Fast image filtering via adaptive noise detection | - |
dc.type | Conference | - |
dc.identifier.doi | 10.1145/2663761.2664228 | - |
dc.type.rims | CONF | - |
dc.identifier.bibliographicCitation | 2014 Conference on Research in Adaptive and Convergent Systems, RACS 2014, pp.95 - 99 | - |
dc.description.journalClass | 2 | - |
dc.identifier.scopusid | 2-s2.0-84909997053 | - |
dc.citation.conferenceDate | 2014-10-05 | - |
dc.citation.endPage | 99 | - |
dc.citation.startPage | 95 | - |
dc.citation.title | 2014 Conference on Research in Adaptive and Convergent Systems, RACS 2014 | - |
dc.contributor.affiliatedAuthor | Hong, M.-C. | - |
dc.type.docType | Conference Paper | - |
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