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An Efficient Contourlet Based Multiple Watermarking Scheme For Health Information System
Open Access   Article

An Efficient Contourlet Based Multiple Watermarking Scheme For Health Information System
Mousami V. Munot1 , Mousami P. Turuk2
1 Department of E and TC, Pune Institute of Computer Technology, Pune, India.
2 Department of E and TC, Pune Institute of Computer Technology, Pune, India.
Correspondence should be addressed to: mvmunot@pict.edu.

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-2 , Page no. 61-65, Feb-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i2.6165

Online published on Feb 28, 2018

Copyright © Mousami V. Munot, Mousami P. Turuk . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 
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IEEE Style Citation: Mousami V. Munot, Mousami P. Turuk, “An Efficient Contourlet Based Multiple Watermarking Scheme For Health Information System”, International Journal of Computer Sciences and Engineering, Vol.6, Issue.2, pp.61-65, 2018.

MLA Style Citation: Mousami V. Munot, Mousami P. Turuk "An Efficient Contourlet Based Multiple Watermarking Scheme For Health Information System." International Journal of Computer Sciences and Engineering 6.2 (2018): 61-65.

APA Style Citation: Mousami V. Munot, Mousami P. Turuk, (2018). An Efficient Contourlet Based Multiple Watermarking Scheme For Health Information System. International Journal of Computer Sciences and Engineering, 6(2), 61-65.
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Abstract :
Health Information Systems (HIS) are gaining wide popularity in the recent days demanding digitization for easy storage of medical data in the secure environment that protects the patient privacy. As the medical data has been transferred on unsecure network authentication and integrity of medical data is a prime concern to attract the researchers. These objectives are gained by watermarking. Medical Image Watermarking (MIW) has recently evolved to solve the issues like storage, security and privacy related with HIS. This paper proposes an effective approach based on Contourlet Transform (CNT) for data hiding of medical records Electronic Patient Record (EPR), biographic signal like EEG or ECG and hospital logo. The contourlet transform is exploited in this research for its multiscale properties and predictive coding like ADM is proposed for compression of ECG signal. The medical text data is further encrypted using RSA public key algorithm. The efficacy of the developed approach is examined using various performance parameters ( Peak Signal to Noise Ratio, PSNR and Structural Similarity Measure , SSIM).The Quality of extracted logo and recovered ECG is evaluated using Normalized Correlation Coefficient (NC) .The similarity of original and extracted EPR examined using Bit Error Rate (BER).Imperceptibility of algorithm is preserved as PSNR values are above 45 DB And MSSIM is greater than 0.98.The comparative analysis with other frequency domain techniques is presented which claims and confirms the superiority of proposed contourlet approach for efficient multiple watermarking in HIS.
Key-Words / Index Term :
Contourlet Transform; Watermarking ; Health Information system
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