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National Chung Hsing University Institutional Repository - NCHUIR > 理學院 > 應用數學系所 > 依資料類型分類 > 期刊論文 >  An adaptive parameterized block-based singular value decomposition for image de-noising and compression

Please use this identifier to cite or link to this item: http://nchuir.lib.nchu.edu.tw/handle/309270000/145636

標題: An adaptive parameterized block-based singular value decomposition for image de-noising and compression
作者: Y.-T.Shih;C.-S.Chien;C.-Y.Chuang
Contributors: Wei Chun Wang
日期: 2012-07
Issue Date: 2013-07-02 10:14:13 (UTC+8)
摘要: We propose an adaptive parametrized block-based singular value decomposition (APBSVD)
for preserving the edge structure and avoiding blurred image after the compressing process.
We also exploit a proper selection of the Peak Signal to Noise Ratio (PSNR) parameter
at each block to appropriately eliminate high-frequency noise. Our numerical results show
that the proposed methods are promising which effectively remove the noise, and preserves
the edge information well during the block-based SVD image compression.
Relation: Applied Mathematics and Computation, Volume 218, page(s) 10370–10385.
Appears in Collections:[依資料類型分類] 期刊論文
[依教師分類] 施因澤

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