A wavelet coding preprocessing algorithm based on Bayesian estimation for image compression

被引:0
作者
Jiang, YX [1 ]
Zhong, ZF [1 ]
Wang, LW [1 ]
机构
[1] Inst Elect Engn, Div 702, Hefei 230037, Peoples R China
来源
Proceedings of 2005 International Conference on Machine Learning and Cybernetics, Vols 1-9 | 2005年
关键词
wavelet coding; image compression; Bayesian estimation;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper presents a wavelet coding preprocessing algorithm which adopts threshold values based on Bayesian estimation for image compression. The proposed algorithm considers a modification to the quantization stage of Set Partioning in Hierarchical Trees (SPIHT) [1], which achieves better peak signal to noise ratio (PSNR) and visual quality performance than existing embedded wavelet coders and JPEG. The performance of the proposed algorithm is demonstrated with extensive experimental results.
引用
收藏
页码:5467 / 5472
页数:6
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