A Novel Image Compression Algorithm Based on the Biorthogonal Invariant Set Multiwavelet

被引：0
|
作者：
Li, Yongjun [1 ,2 ]
Li, Yunsong [1 ,2 ]
Liu, Weijia [1 ,2 ]
机构：
[1] Xidian Univ, State Key Lab Integrated Serv Networks, Xian 710071, Peoples R China
[2] Xidian Univ, Joint Lab High Speed Multi Source Image Coding &, Xian 710071, Peoples R China
来源：
SATELLITE DATA COMPRESSION, COMMUNICATIONS, AND PROCESSING XI | 2015年 / 9501卷
关键词：
Biorthogonal invariant set multiwavelet (BISM); reconstruction and decomposition; image compression; wavelet transform; LIFTING SCHEME; CONSTRUCTION; EFFICIENT; LOSSLESS;
D O I：
10.1117/12.2180767
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
On the basis of the theory of the biorthogonal invariant set multiwavelets (BISM) which is established by Micchelli and Xu, a biorthogonal invariant set multi-wavelets (BISM) filter is designed and the algorithms of decomposition and reconstruction of this filter are given in this paper, and it has many characteristics, such as symmetry, compact support, orthogonality and low complexity. In this filter, the self-affine triangle domain is as support interval, and constant function is as scaling function. Advantages such as low algorithm complexity, the energy and entropy in high concentration after transformation, no blocking effect to facilitate parallel computing are analyzed when the biorthogonal invariant sets multiwavelet (BISM) filters are used image compression. Finally, the validity of image compression algorithm based on biorthogonal invariant set multiwavelet is verified by the approximate JPEG2000 framework.
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页数：13
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