• A STUDY ON SINGULAR VALUE DECOMPOSITION AND IT’S APPLICATIONS IN IMAGE PROCESSING

JAJIMOGGA RAGHAVENDAR*, V. DHARMAIAH

Abstract


This paper discusses about the application of Singular Value Decomposition (SVD) i.e. in Image processing. We use singular Value decomposition to decompose large data into smaller size. In this paper we discuss the mathematics behind SVD. By using Matlab we can find the singular value decomposition and the application of SVD to image compression without data loss. In Linear Algebra, SVD are the most useful tools to reduce any matrix into smaller matrices.


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