DocumentCode :
2716928
Title :
Image Compression Using SVD
Author :
Prasantha, H.S. ; Shashidhara, H.L. ; Balasubramanya Murthy, K.N.
Author_Institution :
PES Inst. of Technol., Bangalore
Volume :
3
fYear :
2007
fDate :
13-15 Dec. 2007
Firstpage :
143
Lastpage :
145
Abstract :
It is well known that the images, often used in variety of computer applications, are difficult to store and transmit. One possible solution to overcome this problem is to use a data compression technique where an image is viewed as a matrix and then the operations are performed on the matrix. Image compression is achieved by using Singular Value Decomposition (SVD) technique on the image matrix. The advantage of using the SVD is the property of energy compaction and its ability to adapt to the local statistical variations of an image. Further, the SVD can be performed on any arbitrary, square, reversible and non reversible matrix of m x n size. In this paper, SVD is utilized to compress and reduce the storage space of an image. In addition, the paper investigates the effect of rank in SVD decomposition to measure the quality in terms of MSE and PSNR.
Keywords :
data compression; image coding; singular value decomposition; data compression technique; energy compaction; image compression; image matrix; singular value decomposition technique; Image coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Conference on Computational Intelligence and Multimedia Applications, 2007. International Conference on
Conference_Location :
Sivakasi, Tamil Nadu
Print_ISBN :
0-7695-3050-8
Type :
conf
DOI :
10.1109/ICCIMA.2007.386
Filename :
4426357
Link To Document :
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