Image reconstruction based on improved block compressed sensing

DOI10.1007/s40314-021-01706-0zbMath1499.94008OpenAlexW4200362685MaRDI QIDQ2064972

Hong Du, Huixian Lin

Publication date: 6 January 2022

Published in: Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s40314-021-01706-0

zbMATH Keywords

sparse matriximage reconstructionMallat algorithmblock compressed sensingDb2 wavelet

Mathematics Subject Classification ID

Nontrigonometric harmonic analysis involving wavelets and other special systems (42C40) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Cites Work

• Unnamed Item
• Multiarray signal processing: tensor decomposition meets compressed sensing
• A simple proof of the restricted isometry property for random matrices
• Collaborative block compressed sensing reconstruction with dual-domain sparse representation
• The structured distance to normality of Toeplitz matrices with application to preconditioning
• An Analysis of Block Sampling Strategies in Compressed Sensing
• Compressed Remote Sensing of Sparse Objects
• A theory for multiresolution signal decomposition: the wavelet representation
• Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit
• Orthonormal bases of compactly supported wavelets
• Multiresolution Approximations and Wavelet Orthonormal Bases of L 2 (R)
• Nyquist Sampling Requirements for Polar Grids in Bistatic Time-Domain Algorithms
• Signal Recovery from Random Measurements via Extended Orthogonal Matching Pursuit
• Sparsity and incoherence in compressive sampling
• Compressed sensing

This page was built for publication: Image reconstruction based on improved block compressed sensing