Comparative Analysis of Lossless Image Compression Algorithms based on Different Types of Medical Images

In the medical field, there is a demand for highspeed transmission and efficient storage of medical images between healthcare organizations. Therefore, image compression techniques are essential in that field. In this study, we conducted an experimental comparison between two famous lossless algorithms: lossless Discrete Cosine Transform (DCT) and lossless Haar Wavelet Transform (HWT). Covering three different datasets that contain different types of medical images: MRI, CT, and gastrointestinal endoscopic images; with different image formats PNG, JPG and TIF. According to the conducted experiments, in terms of compressed image size and compression ratio, we found that DCT outperforms HWT regarding PNG and TIF format which represent CT-grey and MRI-color images. And regarding JPG format which represents the gastrointestinal endoscopic color images, DCT performs well when grey-scale images are used; where HWT outperforms DCT when color images are used. However, HWT outperforms DCT in compression time regarding all the image types and formats.