Medical Image Compression Using Wavelets And Vector Quantization For Telemedicine Application

A fundamental goal of image compression is to reduce the bit rate for transmission or data storage while maintaining an acceptable fidelity or image quality. To improve the classical lossless compression of low efficiency, a method of image lossless compression with high efficiency is presented. In this paper, The image compression scheme contains wavelet transformation and vector quantization. Wavelets allow complex information such as music, speech, images and patterns to be decomposed into elementary forms at different positions and scales and subsequently reconstructed with high precision and The vector quantization algorithms reduces the transmission bit rate or storage. After analyzing and implementing Wavelet transform in lossless compression, a new method of combining vector quantization with wavelet transform to compress medical images is discussed. The result from this presentation will give the better quality of the image.