Selection of Optimal Wavelet Bases for Image Compression using SPIHT Algorithm

被引：0
|
作者：
Rehman, Maria [1 ]
Touqir, Imran [1 ]
Batool, Wajiha [1 ]
机构：
[1] Natl Univ Sci & Technol, Mil Coll Signals, Dept Elect Engn, Islamabad, Pakistan
来源：
SEVENTH INTERNATIONAL CONFERENCE ON MACHINE VISION (ICMV 2014) | 2015年 / 9445卷
关键词：
image compression; wavelet bases; Set Partitioning in Hierarchical Trees; PSNR; compression ratio;
D O I：
10.1117/12.2182135
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 the performance of several wavelet basesin SPIHT coding. Two types of wavelet bases are tested for SPIHT algorithm i.e. orthogonal and biorthogonal wavelet bases. The results of using coefficients of these bases are compared on the basis of Compression Ratio and Peak Signal to Noise Ratio. The paper shows that use of biorthogonal wavelets bases is better than orthogonal wavelet bases. Out of biorthogonal wavelets, bior 4.4 shows good results in SPIHT coding.
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收藏
页数：5
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