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

 

Shilpa A. N.1,2,3,*, Santosh Kumar G.4, Veena C. S.5

1Department of Electronics Communication and Engineering, Research Scholar, East West College of Engineering, India

2Visvesvaraya Technological University-Research Center, Bengaluru-560064, Karnataka, India

3Department of Electronics Communication and Engineering, Senior Scale Lecturer, Government Polytechnic Chamarajanagar-571313, Karnataka, India

4Director, East West College of Engineering, VTU-RC, Bengaluru-560064, Karnataka, India

5Department of Electronics Communication and Engineering, Professor, Presidency University, Bengaluru-560064, India

Emails: shilpa.an@gmail.com; santhoshkumarg@ewce.edu.in; veena.cs@presidencyuniversity.in

Text Box: 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.

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

 

Keywords: Fuzzy Logic; Compressive Sensing; Telemedicine; Hybrid Compression