Image compression using SVD

Proceedings - International Conference on Computational Intelligence and Multimedia Applications, ICCIMA 2007

Volumn 3, Issue , 2008, Pages 143-145

  Prasantha, H S ^a   Shashidhara, H L ^a   Balasubramanya Murthy, K N ^a  

^a PES UNIVERSITY   (India)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER APPLICATIONS; DIGITAL IMAGE STORAGE; IMAGE QUALITY; SINGULAR VALUE DECOMPOSITION;

ENERGY COMPACTION; IMAGE MATRIX; NON REVERSIBLE MATRIX; STATISTICAL VARIATIONS;

IMAGE COMPRESSION;

EID: 41149152373     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCIMA.2007.228     Document Type: Conference Paper

References (7)

1. Dr. Edel Garcia, Singular Value Decomposition (SVD) A Fast Track Tutorial First Published on September 11, 2006; Last Update: September 12, 2006
2. The singular Value Decomposition and It's Application in Image processing, Christopher Jason Ogden, Tammie Huff, Math-45-College of Redwoods, December 18, 1997
3. Jody S. Hourigan and Lynn V. McIndoo, The singular Value Decomposition, Linear Algebra- Math 45
4. Singular value decomposition and principal component analysis in a Practical Approach to Microarray data Analysis (D.P. Berrar, W. Dubitzky, M. Granzow, eds.) Kluwer: Norwell, MA, 2003. pg. 91-109.
5. Lay, David C. Linear Algebra and its applications. Addison Wesley Longman, INC., 1997
6. Leon, Steve.Atlast: Computer Exercise for Linear Algebra, Prentice-Hall, Inc., 1997
7. Mulachy, Colm & Rossi, John."Atlast: A Fresh approach to Singular Value Decomposition"