2690-6791ISSN (Online)
2769-786XISSN (Print)
Volume 17 , Issue 1 , PP: 196-207, 2025 | Cite this article as | XML | Html | PDF | Full Length Article
Shilpa A. N. 1 * , Santosh Kumar G. 2 , Veena C. S. 3
Doi: https://doi.org/10.54216/JISIoT.170114
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.
Fuzzy Logic , Compressive Sensing , Telemedicine , Hybrid Compression
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