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

Sujata Nagpal | Zendy; Shashi Bhushan | Zendy; Manish Mahajan | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

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

Author(s) -

Sujata Nagpal,

Shashi Bhushan,

Manish Mahajan

Publication year - 2016

Publication title -

international journal of modern education and computer science

Language(s) - English

Resource type - Journals

eISSN - 2075-017X

pISSN - 2075-0161

DOI - 10.5815/ijmecs.2016.04.06

Subject(s) - digital watermarking , computer science , pixel , artificial intelligence , encryption , image (mathematics) , context (archaeology) , artificial neural network , matlab , process (computing) , computer vision , scheme (mathematics) , digital image , pattern recognition (psychology) , image processing , computer security , mathematics , mathematical analysis , paleontology , biology , operating system

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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research