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Reversible encryption and lossless data hiding for medical imaging aiding smart health care.

Authors :
Basit, Abdul
Toor, Waqas Tariq
Saadi, Muhammad
Maroof, Naeem
Khan, Saqib Ali
Otaibi, Sattam Al
Source :
Cluster Computing. Oct2023, Vol. 26 Issue 5, p2977-2991. 15p.
Publication Year :
2023

Abstract

E-health solutions for smart cities seem quite promising in resolving health problems, however, there are many challenges associated with it and one of the challenge is the secure and reliable error-free transmission/reception of medical images and associated data. In this paper, we have proposed an efficient technique to securely as well as reliably transfer medical images. In our proposed technique, we use singular value decomposition (SVD) and Discrete Wavelet Haar Transformation (DWT) for hiding the data while encryption is done through standard cipher key. At the receiving end, SVD, DWT, and the key are used to decrypt the image and extract both the image and hidden data. Extensive simulations are carried out on MATLAB in order to evaluate various parameters such as Peak Signal to Noise Ratio (PSNR), Mean Square Error (MSE), Bit Error Rate (BER) and robustness test, in order to illustrate the robustness and imperceptibility of the proposed technique. Our simulation results have proven the suitability of our algorithm for data hiding in medical images. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13867857
Volume :
26
Issue :
5
Database :
Academic Search Index
Journal :
Cluster Computing
Publication Type :
Academic Journal
Accession number :
170716726
Full Text :
https://doi.org/10.1007/s10586-022-03792-z