Biorthogonal Wavelet-based Image Compression

被引：2
|
作者：
Prasad, P. M. K. [1 ]
Umamadhuri, G. [2 ]
机构：
[1] GVP Coll Engn Women, Dept Elect & Commun Engn, Visakhapatnam, Andhra Pradesh, India
[2] AIET, Dept Elect & Commun Engn, Viziangaram, India
来源：
ARTIFICIAL INTELLIGENCE AND EVOLUTIONARY COMPUTATIONS IN ENGINEERING SYSTEMS, ICAIECES 2017 | 2018年 / 668卷
关键词：
Image compression; Biorthogonal wavelet; Wavelet decomposition; PSNR;
D O I：
10.1007/978-981-10-7868-2_38
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The image compression is required to reduce the size and transmission bandwidth. The wavelet transform-based image compression is more preferable than other techniques such as DCT. The biorthogonal wavelets are more preferable than orthogonal wavelets due to symmetry property and flexibility. This paper proposes image compression using biorthogonal wavelets. The various biorthogonal wavelets are applied to image compression. The bior1.3 wavelet has the highest PSNR and lowest computation time. The bior1.3 wavelet is superior wavelet out of all the biorthogonal wavelets for image compression.
引用
收藏
页码：391 / 404
页数：14
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