Security in telehealth applications: issues in medical image watermarking scheme through the shearlet transform

Abstract

Medical image data are important part of diagnoses in existing health care information systems. The medical image's document is a communication instrument that serves clinical decision, give medication, explanation, consultation, coordination of services, validation and identification. This paper proposed an efficient and secure watermark approached using shearlet transform domain techniques for telehealth applications. The shearlet representation is very well improved the edges and the other anisotropic objects, which are the main features in medical images. Medical images with watermarks provide alternatives to various issues related to security, data management, and distribution. Applying the Arnold based encryption algorithms to a watermark image in a less complex way will better protect privacy. The conclusion that arises from the results is that the proposed method has improved in terms of acceptance, satisfaction, and integration of the application of telehealth security. Image quality is measured by a number of commonly used metrics. The experimental results show that quality analysis of the proposed approach provides an effective way to transmit a secure medical image over the public network. Moreover, the results clearly indicate that the proposed techniques are very powerful and adequate for the security of many procedures of aggressions without any noticeable misrepresentations between the watermarks and the cover image.