期刊名称:International Journal of Computer and Information Technology
印刷版ISSN:2279-0764
出版年度:2012
卷号:1
期号:2
页码:190
出版社:International Journal of Computer and Information Technology
摘要:Compressing data is a type of coding operation in which the input data are encoded in a way to occupy less space, to be recovered again in any desirable time, and to restore us the original data. Image Compression due to the increasing usage of information technology and some other reasons including storage capacity limit, etc. have been modeled as a key principle to design the distributed softwares. The Compression ratio and the rate of information recovery are the factors with which we can evaluate the methods of compression. In the current paper the technique of "daryaei SSVD" is presented which is designed based on "Shuffle Singular Value Decomposition & Singular Value Decomposition" which has more compression ratio
关键词:image compression; singular value decomposition; ; Lempel-Ziv-Welch; DSSVD