Performance analysis of medical image compression techniques

Abstract

A large amount of medical data is generated through advanced medical imaging modalities. The digitization of medical image information is of immense interest to the medical community to reduce transmission time, storage costs, and for implementation of the e-healthcare system like telemedicine (Journal of Medical Imaging and Health Informatics 1:300–306, 2011) [1]. Digital images in their original state require considerable storage capacity and transmission bandwidth. In this paper, an exhaustive comparative analysis of different compression techniques and their applications in the emerging fields of medical science such as telemedicine and teleconsultation has been carried out. The performance of compression algorithm can be measured using objective measures such as MSE, PSNR, SSIM, and correlation.