Abstract

Image compression is a very important aspect of image storage and transmission, Image compression plays a crucial role in medical imaging, allowing efficient manipulation, storage, and transmission. In this work an approach to improve the performance of medical image compression is proposed. A novel near-lossless compression scheme is proposed here and yields significantly better compression rates. In this proposed method, base points, direction images and D-value images are obtained from RGB color space image by transformation. Base points, direction images are encoded by binary coding, distributed arithmetic coding. Wavelet coefficients of D-value images are encoded by adaptive Huffman coding. Here, medical image coding with color space transformation and wavelet transform coding are combined, a high compression and good image quality are achieved by applying the algorithm like adaptive Huffman coding and distributed arithmetic coding.