Image decoding optimization based on compressive sensing

DOI10.1016/j.cam.2011.05.023zbMath1236.94036OpenAlexW2041804403MaRDI QIDQ651918

Baocai Yin, Wenpeng Ding, Dehui Kong, Yunhui Shi, Zhen Zhang

Publication date: 19 December 2011

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

Full work available at URL: https://doi.org/10.1016/j.cam.2011.05.023

zbMATH Keywords

total variationcompressive sensingSOCPimage decoding

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (1)

JPEG lifting algorithm based on adaptive block compressed sensing

Cites Work

• Nonlinear total variation based noise removal algorithms
• Method of successive projections for finding a common point of sets in metric spaces
• Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
• An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
• Stable signal recovery from incomplete and inaccurate measurements
• Compressed sensing
• Unnamed Item

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