A robust and high embedding capacity watermarking technique for telemedicine

ABSTRACT

The medical field has been greatly influenced by the rapid expansion of technology and globalization. Medical images are routinely transferred by wired or remote media amongst professionals, medical experts, analysts, and patients themselves in order to improve the diagnostic outcomes. To achieve investigative conclusions, physicians concentrate on the ROI (Region of Interest) in a medical image. To retrieve the ROI when it has been damaged by noise or altered by intruders during transmission, the ROI data are hidden within the RONI (Region of Non-Interest) in medical images. This paper intends a high embedding capacity watermarking system grounded on Finite Ridgelet Transform (FRT). Proposed method supports the high embedding capacity for concealing entire ROI data inside RONI and simultaneously provides a high level of robustness to the concealed data.

KEYWORDS:

• Telemedicine
• watermarking
• FRT
• ROI
• RONI

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Eswaraiah Rayachoti

Eswaraiah Rayachoti is working as Professor in School of Computer Science and Engineering in VIT-AP University, Guntur, Andhra Pradesh, India. His research areas include Medical Image Processing and Information Security.