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dc.contributor.authorPan, Jeng-Shyang
dc.contributor.authorLu, Zheng-Ming
dc.contributor.authorChen, Tsong-Yi
dc.contributor.authorSun, Sheng-He
dc.date.accessioned2009-06-02T06:20:20Z
dc.date.accessioned2020-05-25T06:39:47Z-
dc.date.available2009-06-02T06:20:20Z
dc.date.available2020-05-25T06:39:47Z-
dc.date.issued2006-11-17T07:53:57Z
dc.date.submitted2000-12-08
dc.identifier.urihttp://dspace.lib.fcu.edu.tw/handle/2377/3274-
dc.description.abstractImage compression using vector quantization has been proved to be an efficient approach. The speed of codeword search is the key problem for real-time applications of vector quantization. In this paper, a new inequality based on the HADAMARD transform is derived. An efficient VQ codeword search algorithm using this inequality is proposed for VQ image coding. Experimental results show that the algorithm performs better than the PDS, ENNS, IENNS, and WTPDS algorithms.
dc.description.sponsorship中正大學,嘉義縣
dc.format.extent5p.
dc.format.extent844762 bytes
dc.format.mimetypeapplication/pdf
dc.language.isozh_TW
dc.relation.ispartofseries2000 ICS會議
dc.subject.otherImage Compression
dc.titleApplication of HADAMARD Transform For Fast VQ Image Coding
分類:2000年 ICS 國際計算機會議

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