Compressed-sensing-based gradient reconstruction for ghost imaging

DOI10.1007/S10773-019-04013-XzbMath1439.94009OpenAlexW2913693164MaRDI QIDQ2323735

Ying Guo, Rong Zhu, Guangshun Li

Publication date: 3 September 2019

Published in: International Journal of Theoretical Physics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10773-019-04013-x

zbMATH Keywords

total variationgradientcompressed sensingghost imaging

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Quantum optics (81V80)

Cites Work

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• Multipolarization Through-Wall Radar Imaging Using Low-Rank and Jointly-Sparse Representations
• Stable signal recovery from incomplete and inaccurate measurements
• Compressed sensing

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