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

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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.

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Abbreviations

SVD:

Singular value decomposition

DWT:

Discrete wavelet transform

PSNR:

Peak signal to noise ratio

EHR:

Electronic health record

IoT:

Internet of things

RDM:

Recursive dither modulation

LSB:

Least significant bit

ROI:

Region of interest

MRI:

Magnetic resonance imaging

DCT:

Discrete cosine transform

MSE:

Mean square error

IPTV:

Internet protocol television

BER:

Bit error rate

CT:

Computed tomography

FPGA:

Field-programmable gate array

GPU:

Graphics processing unit

VoD:

Video on demand

RONI:

Region of none interest

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Funding

Sattam Al Otaibi would like to thank Taif University Researchers Supporting Project number (TURSP-2020/228), Taif University, Taif, Saudi Arabia.

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Authors and Affiliations

  1. Khwaja Fareed University of Engg. & IT, Rahim Yar Khan, 64200, Pakistan

    Abdul Basit & Saqib Ali Khan

  2. Department of Electrical Engineering, University of Engineering and Technology, Lahore (Narowal Campus), Narowal, Pakistan

    Waqas Tariq Toor

  3. University of Jeddah, Jeddah, 23891, Kingdom of Saudi Arabia

    Naeem Maroof

  4. Department of Electrical Engineering, University of Central Punjab, Lahore, 54000, Pakistan

    Muhammad Saadi

  5. Department of Electrical Engineering, College of Engineering, Taif University, Taif, 21944, Saudi Arabia

    Sattam Al Otaibi

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  1. Abdul Basit
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Contributions

Paper Write Up: AB, NM. Concept: AB, MS. Visualization & Implementation: AB, WTT . Proof Reading: SAK. Overall Supervision: MS, SAO.

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Correspondence to Muhammad Saadi.

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Basit, A., Toor, W.T., Saadi, M. et al. Reversible encryption and lossless data hiding for medical imaging aiding smart health care. Cluster Comput 26, 2977–2991 (2023). https://doi.org/10.1007/s10586-022-03792-z

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