Compressive Sensing-Based Computed Tomography Imaging: An effective approach for COVID-19 Detection

DOI10.1142/S0219691321500144zbMath1481.92079OpenAlexW3135327869MaRDI QIDQ5022944

Mohammad Salim, Vivek Upadhyaya

Publication date: 20 January 2022

Published in: International Journal of Wavelets, Multiresolution and Information Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0219691321500144

zbMATH Keywords

computed tomography (CT)compressive sensing (CS)COVID-19structural similarity index (SSIM)feature similarity index measure (FSIM)ground-glass opacities (GGOs)peak signal to noise ratio (PSNR)

Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55)

Uses Software

• FSIM

Cites Work

• Quantitative robust uncertainty principles and optimally sparse decompositions
• Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
• Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
• Nonlinear approximation and its applications
• Sparse and Redundant Representations
• From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images
• FSIM: A Feature Similarity Index for Image Quality Assessment
• Stable signal recovery from incomplete and inaccurate measurements
• Compressed sensing

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