Image compression with multiresolution singular value decomposition and other methods
Image compression with multiresolution singular value decomposition and other methods
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DOI：
10.1016/j.mcm.2003.12.014
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发表时间：
2005-03-01
影响因子：
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通讯作者：
Vaillancourt, R
中科院分区：
文献类型：
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作者：
Ashin, R;Morimoto, A;Vaillancourt, R
将多分辨率奇异值分解与离散余弦变换、离散9/7双正交小波变换、Karhunen-Loeve变换及其组合进行了比较。这些方法的性能相差不大。一般来说，9/7双正交小波变换是上级的大多数图像，测试给定的压缩率。但对于某些块变换和某些图像，其他方法略优于上级。(c)2005爱思唯尔有限公司保留所有权利。
Digital image compression with multiresolution singular value decomposition is compared with discrete cosine transform, discrete 9/7 biorthogonal wavelet transform, Karhunen-Loeve transform, and combinations thereof The coding methods used SPIHT and run-length with Huff-mann coding. The performances of these methods differ little from each other. Generally, the 9/7 biorthogonal wavelet transform is superior for most images that were tested for given compression rates. But for certain block transforms and certain images other methods are slightly superior. (c) 2005 Elsevier Ltd. All rights reserved.