An Enhanced Digital Image Watermarking Scheme for Medical Images using Neural Network, DWT and RSA

Abstract

Abstract-Image watermarking is the process of the hiding the one image into other image for the copyright protection. The process of watermarking must be done in this way that the pixels of the original image must remain in its original HD form. A lot of work has been done in this context in previous years but some techniques have their own applications, drawbacks as well as advantages. So, this paper will utilize three techniques i.e. Discreet Wavelet Transform (DWT), Neural Network (NN) and RSA encryption for image watermarking. In the end the performance of the proposed technique will be measured on the basis of PSNR, MSE, BCR, BER and NCC in MATLAB R2010a environment.

A Novel FDCT-SVD Based Watermarking with Radon Transform for Telemedicine Applications

“…The scheme has a significant drawback in terms of perceptual quality where the average PSNR is 41 dB, which is barely acceptable for medical images watermarking. Nagpal et al [10] proposed a watermarking scheme based on DWT, neural network , and rivest-shamir-adleman (RSA) encryption. In this technique, the watermark image was scrambled by applying the RSA encryption for security reasons.…”

A Risk Assessment Framework Proposal Based on Bow-Tie Analysis for Medical Image Diagnosis Sharing within Telemedicine

“…The risk, which is the probability that a threat exploits a certain vulnerability in a system, is associated with the manifestation of the threat [ 18 , 38 , 39 ]. Often, the risk identification is not completely known due to a lack of knowledge about when or how the threat will manifest itself in the system.…”