Abstract: In this study, we present an algorithm of SPIHT to compress an image using various wavelet filters by way of bior 4.4, Coif1, Daubechies families, Sym 3 and rbio 4.4. Compression methods are important in telemedicine applications to amply represent an image by decreasing the amount of bits per pixel. Data storage requirements are reduced and transmission efficiency is improved because of compressing the image. This algorithm is real and computationally efficient in case of coding an image. In recent years, a technique to decompose an image using wavelets has obtained a big deal of reputation. Apart from the performance of good compression, we may obtain good quality of image even if truncation of bit stream happened at any point of time. All the standard filters of wavelet are used and the results are compared with two different images (Lena and lifting body) in the encoding section. Bit rate versus PSNR simulation results are tabulated with different wavelet filters. Finally Bi-orthogonal (bior 4.4) filter of wavelet family given better results.