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Journal of Intelligent Systems and Internet of Things

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Journal of Intelligent Systems and Internet of Things

Volume 17 , Issue 1 , PP: 196-207, 2025 | Cite this article as | XML | Html | PDF | Full Length Article

Hybrid Compressive Sensing based Secure Medical Image Compression and Reconstruction in Telemedicine Application

Shilpa A. N. 1 * , Santosh Kumar G. 2 , Veena C. S. 3

  • 1 Department of Electronics Communication and Engineering, Research Scholar, East West College of Engineering, India; Visvesvaraya Technological University-Research Center, Bengaluru-560064, Karnataka, India; Department of Electronics Communication and Engineering, Senior Scale Lecturer, Government Polytechnic Chamarajanagar-571313, Karnataka, India - (shilpa.an@gmail.com)
  • 2 Director, East West College of Engineering, VTU-RC, Bengaluru-560064, Karnataka, India - (santhoshkumarg@ewce.edu.in)
  • 3 Department of Electronics Communication and Engineering, Professor, Presidency University, Bengaluru-560064, India - (veena.cs@presidencyuniversity.in)

    • Doi: https://doi.org/10.54216/JISIoT.170114

    Received: January 22, 2025 Revised: March 01, 2025 Accepted: April 09, 2025
    Abstract

    The transmission of complex medical images in telemedicine applications poses significant challenges. An effective hybrid compressed sensing and encryption framework is proposed for enabling efficient MRI compression and secure transmission in telemedicine applications. Firstly, a fuzzy-logic-based image enhancement is pressed. Then an optimized chaotic sequence generation scheme is formulated based on image characteristics to achieve compression robustness and security of the compression process. In addition, the proposed framework uses a lightweight public key encryption method to speed up encryption and decryption time. Our experimental results demonstrate the effectiveness of the proposed system on various metrics, including PSNR, SSIM, correlation coefficient, and processing time. The system consistently achieved high SSIM scores (0.96 to 1.0) and maintained low algorithm processing time, validating its efficiency in high-quality reconstruction.

    Keywords :

    Fuzzy Logic , Compressive Sensing , Telemedicine , Hybrid Compression

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    Cite This Article As :
    A., Shilpa. , Kumar, Santosh. , C., Veena. Hybrid Compressive Sensing based Secure Medical Image Compression and Reconstruction in Telemedicine Application. Journal of Intelligent Systems and Internet of Things, vol. , no. , 2025, pp. 196-207. DOI: https://doi.org/10.54216/JISIoT.170114
    A., S. Kumar, S. C., V. (2025). Hybrid Compressive Sensing based Secure Medical Image Compression and Reconstruction in Telemedicine Application. Journal of Intelligent Systems and Internet of Things, (), 196-207. DOI: https://doi.org/10.54216/JISIoT.170114
    A., Shilpa. Kumar, Santosh. C., Veena. Hybrid Compressive Sensing based Secure Medical Image Compression and Reconstruction in Telemedicine Application. Journal of Intelligent Systems and Internet of Things , no. (2025): 196-207. DOI: https://doi.org/10.54216/JISIoT.170114
    A., S. , Kumar, S. , C., V. (2025) . Hybrid Compressive Sensing based Secure Medical Image Compression and Reconstruction in Telemedicine Application. Journal of Intelligent Systems and Internet of Things , () , 196-207 . DOI: https://doi.org/10.54216/JISIoT.170114
    A. S. , Kumar S. , C. V. [2025]. Hybrid Compressive Sensing based Secure Medical Image Compression and Reconstruction in Telemedicine Application. Journal of Intelligent Systems and Internet of Things. (): 196-207. DOI: https://doi.org/10.54216/JISIoT.170114
    A., S. Kumar, S. C., V. "Hybrid Compressive Sensing based Secure Medical Image Compression and Reconstruction in Telemedicine Application," Journal of Intelligent Systems and Internet of Things, vol. , no. , pp. 196-207, 2025. DOI: https://doi.org/10.54216/JISIoT.170114

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