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

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Author(s)

Sujata Nagpal 1,* Shashi Bhushan 2 Manish Mahajan 2

1. Chandigarh Engineering College, Landran, Mohali, 140307, India

2. Department of CSE, Chandigarh Engineering College, Landran, Mohali

* Corresponding author.

DOI: https://doi.org/10.5815/ijmecs.2016.04.06

Received: 6 Dec. 2015 / Revised: 5 Jan. 2016 / Accepted: 26 Feb. 2016 / Published: 8 Apr. 2016

Index Terms

Digital Image watermarking, DWT, Neural Network, Encryption, RSA

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.

Cite This Paper

Sujata Nagpal, Shashi Bhushan, Manish Mahajan, "An Enhanced Digital Image Watermarking Scheme for Medical Images using Neural Network, DWT and RSA", International Journal of Modern Education and Computer Science(IJMECS), Vol.8, No.4, pp.46-56, 2016. DOI:10.5815/ijmecs.2016.04.06

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