Enhanced Medical Data Security and Perceptual Quality for Healthcare services

Abstract

The rapid advancement of Multimedia Communication Technology offers a unified resource of distributing and remote access to patient data. Monitoring the patients at their home can extensively minimize the increasing traffic at medical centres and hospitals. However, when medical data is sent across internet, the question of retaining patient data confidentially and reliability is suspicious. This aspect serves as a motivation for this paper. The proposed framework exploits contourlet transform coefficients to choose contour regions of the medical image which combines steganography and encryption technique to protect patient confidential data. In this system, a unified iterative process is proposed to resolve such difficulty. Moreover, we have employed a renowned Encryption algorithm in order to secure patient related data. This framework allows medical image to conceal its resultant patient confidential information and other medical data to assure the combination between medical image and the rest. Experimental results illustrates that the proposed framework proves to offer minimum retrieval error rate and as well perform better for a variety of biomedical images including CT scan, MRI and X-rays than the existing schemes. The performance parameter namely Peak signal to noise ratio, Payload, SSIM and Mean square error values are computed for the reconstructed image. The outcome of the proposed framework is exceptionally gainful and serves as a solution for healthcare services.