Volume 18, No. 6, 2021
A Reversible Watermarking Model To Autheticate Medical Images Using Optimum Linear Filtering
Veena s , Dr. C K Narayanappa , Dr. Shivaprakash G
Abstract
Recently, a major enhancement in utilization of internet based services worldwide have given rise to online medical facilities where patients can interact with doctors and medical experts and can share their details via different online platforms and applications. On the other side, medical experts too share medical details like their CT scan images, X-rays, fundus images, MRI images as well as other private and confidential information with other experts or patients on online platforms which is at risk in terms of security. Any intruder or mischief can temper these information and create problems. Thus, data authenticity and data recovery while tempering occurs are two major issues which need to be discussed. Therefore, a Reversible Watermarking Technique is presented to authenticate medical images like CT scan images, X-rays, fundus images, MRI images and to localize tempering region and to retrieve tempered region. Here, these objectives are achieved using Optimum linear filtering method which optimizes two NP-hard problems like Information Loss Minimization (ILM) Problem and Reversible Watermarking Capacity Enhancement (RWCE) Problem for Reduction of Error Estimation (REE) to enhance performance efficiency. Experimental results are carried out considering different medical images under various attacks and compared with several state-of-art-watermarking schemes in terms of PSNR, SSIM, BER and NCC.
Pages: 1331-1352
Keywords: Reversible Watermarking, Optimum linear filtering, Reduction of Error Estimation (REE), Information Loss Minimization (ILM) Problem and Reversible Watermarking Capacity Enhancement (RWCE) Problem