Nonconvex compressed sampling of natural images and applications to compressed MR imaging

DOI10.5402/2012/982792zbMath1251.94009OpenAlexW2056256402WikidataQ58905638 ScholiaQ58905638MaRDI QIDQ408496

Zhuihui Wei, Hai-Song Deng, Wen-Ze Shao

Publication date: 10 April 2012

Published in: ISRN Computational Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.5402/2012/982792

zbMATH Keywords

compressed imaging reconstructionMR imagesnatural imagesnonconvex compressed samplingstructure-preserving image reconstruction

Mathematics Subject Classification ID

Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Cites Work

• Enhancing sparsity by reweighted \(\ell _{1}\) minimization
• The restricted isometry property and its implications for compressed sensing
• JPEG2000: The upcoming still image compression standard
• Image decomposition via the combination of sparse representations and a variational approach
• Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
• Decoding by Linear Programming
• Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
• Bayesian Compressive Sensing
• An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
• Sparsity and incoherence in compressive sampling
• Bayesian Compressive Sensing Using Laplace Priors
• Stable signal recovery from incomplete and inaccurate measurements

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