Image compression Using Wavelet Transform and Vector Quantization with Variable block Size

被引：0
|
作者：
Yamanaka, Osamu [1 ]
Yamaguchi, Tsuyoshi [1 ]
Maeda, Junji [1 ]
Suzuki, Yukinori [1 ]
机构：
[1] Muroran Inst Technol, Dept Comp Sci & Syst Engn, Muroran, Hokkaido 0508585, Japan
来源：
2008 IEEE CONFERENCE ON SOFT COMPUTING IN INDUSTRIAL APPLICATIONS SMCIA/08 | 2009年
关键词：
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
We introduced discrete wavelet transform (DWT) to vector quantization (VQ) for image compression. DWT is multi-resolution analysis, and a signal energy concentrates to specific DWT coefficients. This characteristics is useful for image compression. DWT coefficients are compressed using VQ with variable block size. To perform effective compression, blocks are merged by the algorithm proposed in this paper. Results of computational experiments show that our algorithm is effective compared with the performance of the previous proposed algorithm.
引用
收藏
页码：359 / 364
页数：6
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