Compressive Sensing-Based Computed Tomography Imaging: An effective approach for COVID-19 Detection
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Publication:5022944
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
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)
Uses Software
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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