X-Ray, MRI and CT scan Medical Image Compression using Huffman Coding
Mohammed Hazim Alkawaz, Muhammad Akmal Shaik Mydin, Md Gapar Md Johar · 2022
In hospitals, modern medical imaging generates a large amount of medical pictures. The necessity of medical image compression in telehealth cannot be overstated because it provides for excellent image quality for the medical images containing substantial diagnostic information while requiring less storage space, allowing them to be conveniently transmitted across a network and accessible in a short period of time. This research assessed the performance analysis of several image compression methods for the medical images such as X-rays, MRIs, and CT scans. Image quality parameters such as Compression Ratio (CR), Peak Signal to Noise Ratio (PSNR), and Mean Structural Similarity Index (MSSI) have been used to assess the quality of medical pictures following compression using Huffman coding.