PERFORMANCE EVALUATION OF VARIOUS IMAGE COMPRESSION TECHNIQUES USING SVD, DCT AND DWT

Anjali Ray, Piyush Sharma

Abstract: Now a day, images are sending over the internet in very large amount. An uncompressed image requires more storage space and transmission bandwidth. So, the size of image database is increased. Image compression is a very active and mature field of research. Vast redundancy and the ability to absorb the moderate errors in the reconstruction of image make the compression possible. Considering the important role played by digital image and video, it is necessary to develop a system that produces high degree of compression while preserving critical image/video information. There is various transformation techniques used for data compression. Singular Value Decomposition (SVD), Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) are the most commonly used Lossy compression techniques. In this work, we tested SVD, DWT, DCT algorithm for image compression comprehended using MATLAB code and modified to perform better when implemented in hardware description language.

Keywords: Image compression, SVD-DWT-DCT and MATLAB

DOI: https://doi.org/10.15623/ijret.2017.0606002