A Novel Hybrid Approach for Image Compression...

A Novel Hybrid Approach for Image Compression Using Singular Value Decomposition and Discrete Wavelet Transform

Author Name : Yatish Wutla, Narasinga Sai Satwik Tenneti , Sneha Edupuganti

ABSTRACT Image compression is a technique that reduces the size of an image by removing redundant or irrelevant information. Image compression can improve the efficiency of storage and transmission of images, as well as reduce the distortion and noise in the image. There are many methods for image compression, but two of the most popular ones are Singular Value Decomposition (SVD) and Discrete Wavelet Transform (DWT). SVD is a mathematical method that decomposes an image matrix into three smaller matrices: U, S, and V. The matrix S contains the singular values of the image matrix, which represent the importance of each component in the image. By keeping only the largest singular values and setting the rest to zero, we can reduce the size of the image matrix while preserving most of the information.[1]