Comments on SVD related image compression

被引：0
|
作者：
Aznaveh, A. Mahmoudi [1 ]
Mansouri, A. [1 ]
Torkamaniazar, F. [1 ]
机构：
[1] Shahid Beheshti Univ, Fac Elec & Comp Engn, Tehran, Iran
来源：
OPTOELECTRONICS AND ADVANCED MATERIALS-RAPID COMMUNICATIONS | 2009年 / 3卷 / 08期
关键词：
Image compression; SVD; Multi gaussian distribution;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
This paper analyses the distribution of singular vectors entries of an image to guarantee the quality of the compressed images. Distribution of singular vectors entries of all images follows a multi Gaussian probability density function. The proposed idea is employed for determination of compression rate of images. It is shown that while the Gaussian distribution of singular vectors entries is valid for all type of images, it depends to the complexity level of the image.
引用
收藏
页码：787 / 790
页数：4
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