A Novel Medical Image Compression Using New Traditional Orthogonal Wavelets

Wavelets, from its early age to the present date, are at use in many practical applications. Though it is a single word, it is different in every appearance. In Haar version it appears as though it is so soft and smooth, in Daubechies version db2 and db3 it appear to be a sharp knife, in Coiflet version as a nerve beat. The new wavelets are always needed because one needs a unique tool to a specific problem. In this paper four orthogonal, asymmetric wavelets are proposed and are used in Image compression. The Peak Signal to Noise Ratio (PSNR), Compression Ratio (CR), Decoding, Encoding and transforming times are calculated. The proposed wavelet simulation results show that they are superior to so called traditional wavelets on medical image compression.