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양승준

Yang, Seungjoon
Signal Processing Lab .
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dc.citation.conferencePlace CN -
dc.citation.conferencePlace Vancouver, BC -
dc.citation.endPage 891 -
dc.citation.startPage 888 -
dc.citation.title IEEE ICIP : International Conference on Image Processing -
dc.contributor.author Yang, Seungjoon -
dc.contributor.author Hu, YH -
dc.contributor.author Nguyen, TQ -
dc.contributor.author Tull, DL -
dc.date.accessioned 2023-12-20T06:36:46Z -
dc.date.available 2023-12-20T06:36:46Z -
dc.date.created 2014-12-23 -
dc.date.issued 2000-09-10 -
dc.description.abstract At low bit rates, image compression codecs based on overlapping transforms introduce spurious oscillations known as ringing artifacts in the vicinity of major edges. Unlike previous works, we present a maximum-likelihood approach to the ringing-artifact removal problem. Our approach employs a parameter-estimation method based on the k-means algorithm with the number of clusters determined by a cluster-separation measure. The proposed algorithm and its simplified approximation are applied to JPEG2000 compressed images. Our results show effective and efficient removal of ringing artifacts. -
dc.identifier.bibliographicCitation IEEE ICIP : International Conference on Image Processing, pp.888 - 891 -
dc.identifier.scopusid 2-s2.0-0034441363 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/35861 -
dc.language 영어 -
dc.publisher IEEE -
dc.title Maximum likelihood parameter estimation for image ringing artifact removal -
dc.type Conference Paper -
dc.date.conferenceDate 2000-09-10 -

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