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Digital Image Processing using Singular Value Decomposition

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Document pages: 3 pages

Abstract: This paper consists theory of linear algebra called “Singular Value Decomposition (SVD)” to digital image processing. Two specific areas of digital image processing (DIP) are tested and investigated. SVD method can transform a matrix A into product USV T , which allow us for refactoring a digital image in 3 matrices. which can preserve useful features of the original image, but use less storage space in the memory and achieve the image compression process. The experiments with different singular value are performed and the compression results are assessed by compression ratio and quality measurement. In this paper, It is discussed that how SVD is applied to images, the technique of image compression and maintaining the quality of the image using SVD. The algorithm to compress an image using MATLAB is also applied.

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