A Hybrid Discrete Cosine Transform Technique for Compression of Medical Images

Medical images are having a very significant role in health sciences. Medical images are produced by the mechanism of medical imaging which is the process of creating images of the human body or body parts using various techniques to reveal, diagnose or treat a disease. Analysis of these images by the experts lead to detection of a certain and specific medical condition. Storage and sharing of medical image data are expensive and excessive without compressing it because various techniques of medical imaging produce large sized data therefore these medical images are compressed before saving or sharing them. We present a new hybrid discrete cosine transform and Huffman encoding to bring about compression and noise removal in further steps and then image similarity correlation is done.