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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
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      07 April 2023, Volume 38 Issue 2   
    Article

    WATERMARKING SCHEME FOR MEDICAL IMAGES WITH ENHANCED ROBUSTNESS BASED ON DISCRETE WAVELET TRANSFORM AND NEURAL NETWORK
    Raj Vikram Singh1, Dr. Subodh Wariya2, Dr. Rajiv Kumar Singh3
    Journal of Data Acquisition and Processing, 2023, 38 (2): 1234-1246 . 

    Abstract

    Medical data has become increasingly sensitive in the world today, and the necessity for privacy has become more important. The digital watermarking method is used to offer privacy and verification to medical information, which comprises a patient's medical information. The goal of the paper is to use digital watermarking technology with neural networks to validate medical information. The host information is analyzed using a four-level DWT before being fed into a back propagation neural network, which contains the secret image as well as various noise attacks. DWT is used to process the acquired image, which is then either saved or sent. The process of disguising one image in another for copyright protection is known as image watermarking. The watermarking process should be carried out in such a way that the original image's pixels stay in their original HD format. Although much work was done in this area in recent years, each technique has its own set of applications, disadvantages, and benefits. As a result, this study will employ two strategies, namely, Image watermarking using Neural Network (NN) and Discrete Wavelet Transform (DWT). Finally, the suggested technique's efficiency will be evaluated using MSE, PSNR, BER, NCC, and BCR in the MATLAB R2010a environment.

    Keyword

    Discrete Wavelet Transform, neural network, watermarking, digital, security


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ISSN 1004-9037

         

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