Performance Analysis of SPIHT algorithm in Image Compression

ISSN: 2278 – 7798 All Rights Reserved © 2015 IJSETR Abstract In recent years there has been an astronomical increase in the usage of computers for a variety of tasks. With the advent of digital cameras, one of the most common uses has been the storage, manipulation, and transfer of digital images. The files that comprise these images, however, can be quite large and can quickly take up precious memory space on the computer’s hard drive. In multimedia application, most of the images are in color. And color images contain lot of data redundancy and require a large amount of storage space. This project presents a new technique for compression of gray scale and color images using SPIHT algorithm along with wavelets. Compression can be done using different wavelets at different levels of decomposition. In this project the performance analysis of SPIHT with biorthogonal wavelets at four different levels of decomposition using EZW coding was presented. The technique performance of SPIHT compression is compared in terms of PSNR(Peak Signal to Noise Ratio), MSE(Mean Square Error), BPP(Bits per pixel), CR(Compression Ratio).