Reversible Region-Based Embedding in Images for Secured Telemedicine Approach

Abstract

In the current era, to provide quality healthcare service remotely, telemedicine is one of the well-known techniques worldwide. The prescribed diagnosis disease details the doctor for faster diagnosis over the private and public channels. Medical information needs to be secured over an unsecured internet network as it contains personal information inside, like CT-scan, X-Ray, MRI, etc. It is a challenge of security in medical data like privacy, confidentiality, and integrity of patient records. After deep investigation, the existing techniques like encryption and digital watermarking are not always resourceful in real-time. This research work analyzes the problem and delivers the solution of security for recovering medical images. Here is the basic resolution for safe image communication by preserving those selective regions of images which carry sensitive medical diagnosis information called Region of Interest (ROI). The ROI of the medical image is irregularly presumed which preserves essential information. This research work gives a broad overview of data hiding in ROI medical images by embedding in its selective blocks. The performance parameters are verified, which proves the preservation of sensitive data in medical images.