aspg-18-3804-1792512310 20261020160510 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group Journal of Intelligent Systems and Internet of Things JISIoT 2769-786X 2690-6791 2025 17 1 Shilpa A. N. Department of Electronics Communication and Engineering, Research Scholar, East West College of Engineering, India; Visvesvaraya Technological University-Research Center, Bengaluru-560064, K Santosh Kumar G. Director, East West College of Engineering, VTU-RC, Bengaluru-560064, Karnataka, India Veena C. S. Department of Electronics Communication and Engineering, Professor, Presidency University, Bengaluru-560064, India 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. 2025 196 207 3804 https://creativecommons.org/licenses/by/4.0/ 10.54216/JISIoT.170114 https://www.americaspg.com/journal/18/article/3804 https://www.americaspg.com/storage/11747932336.pdf