Tailoring Image Compression Algorithms for Optimal PSNR and Compression Ratio in Medical Diagnostic Imaging

Medical diagnostic imaging his primary importance in healthcare, in terms of identifying and analyzing various condition. As the volume of medical imaging data is growing, efficient image compression is necessary to minimize time required for transmission, storage and access while maintaining image quality. In this paper we examine how to these image compression algorithms can be tailored to achieve the maximal PSNR vs. compression ratio balance for medical diagnostic images. In this work, we utilize a novel approach that combines both lossless and lossy compression techniques to achieve high quality image with a considerable reduction in data size