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 |
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dc.contributor.author |
Yang, Seungjoon |
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dc.contributor.author |
Hu, YH |
- |
dc.contributor.author |
Nguyen, TQ |
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dc.contributor.author |
Tull, DL |
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dc.date.accessioned |
2023-12-20T06:36:46Z |
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dc.date.available |
2023-12-20T06:36:46Z |
- |
dc.date.created |
2014-12-23 |
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dc.date.issued |
2000-09-10 |
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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. |
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dc.identifier.bibliographicCitation |
IEEE ICIP : International Conference on Image Processing, pp.888 - 891 |
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dc.identifier.scopusid |
2-s2.0-0034441363 |
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dc.identifier.uri |
https://scholarworks.unist.ac.kr/handle/201301/35861 |
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dc.language |
영어 |
- |
dc.publisher |
IEEE |
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dc.title |
Maximum likelihood parameter estimation for image ringing artifact removal |
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dc.type |
Conference Paper |
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dc.date.conferenceDate |
2000-09-10 |
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