The application of symmetric orthogonal multiwavelets and prefilter technique for image compression

被引:8
作者
Chen, Jiazhong [1 ]
Xun, Ouyang
Zheng, Wu
Xu, Jun
Zhou, Jingli
Yu, Shengsheng
机构
[1] Huazhong Univ Sci & Technol, Comp Sch, Wuhan 430074, Hubei, Peoples R China
[2] Univ Derby, Fac Business Law & Comp, Derby DE22 1GB, England
关键词
image compression; multiwavelets; prefilter technique;
D O I
10.1007/s11042-006-0006-6
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Multiwavelets are the new addition to the body of wavelet theory. There are many types of symmetric multiwavelets such as GHM and CL. However, the matrix filters generating the GHM system multiwavelets do not satisfy the symmetric property. Apparently, GHM cannot solve the edge problem accurately. For this reason, this paper presents some formulas for constructing the symmetric orthogonal matrix filters, which leads the symmetric orthogonal multiwavelets (SOM). Moreover, we analyze the frequency property by vanishing moments and prefilter technology to get a good combining frequency property. To prove the good property of SOM in image compression application, we compared the compression effect with other writers' work, which was in published literature. Extensive experimental results demonstrate that our new symmetric orthogonal matrix filters combining with the prefilter technology and coefficient reorganization exhibit performance equal to, or in several cases superior to the GHM and CL symmetric multiwavelets.
引用
收藏
页码:175 / 189
页数:15
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