A REVIEW PAPER ON IMAGE COMPRESSION USING DWT-SPIHT ALGORITHM

Abstract

Health telematics technologies and services are growing with the advancement of communication technology. In view of the increasingly important role played by digital medical imaging in modern health care, vast amounts of image data need to be processed and/or transmitted economically. The creation of image compression systems that combine a high compression ratio with critical information preservation is important. In the field of image compression, wavelets have been a major advancement over the past decade. In this paper, a hybrid scheme is proposed for medical image compression using both discrete wavelet transform (DWT) and discrete cosine transform (DCT). The DWT data, which typically have zero mean and small variance, are applied to DCT, achieving better compression than obtained from either technique alone. Compared with JPEG and set partitioning in hierarchical trees (SPIHT) coders, the results of the hybrid method are compared and the performance of the proposed scheme is found to be better.