Total variation reconstruction from quadratic measurements

DOI10.1007/S11075-016-0197-5zbMath1375.65039OpenAlexW2515076238MaRDI QIDQ526711

Anastasia Zakharova

Publication date: 15 May 2017

Published in: Numerical Algorithms (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11075-016-0197-5

zbMATH Keywords

total variationimage recoveryphase retrievalastronomical imagingdepth reconstructionincomplete noisy quadratic measurement

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Numerical aspects of computer graphics, image analysis, and computational geometry (65D18) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (1)

A dual symmetric Gauss-Seidel alternating direction method of multipliers for hyperspectral sparse unmixing

Uses Software

• PhaseLift

Cites Work

• Unnamed Item
• Lectures on Modern Convex Optimization
• Sparsity Constrained Nonlinear Optimization: Optimality Conditions and Algorithms
• Stable Image Reconstruction Using Total Variation Minimization
• Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
• Nonlinear approximation and the space BV[inline-graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="01i" /]
• On the rank minimization problem over a positive semidefinite linear matrix inequality
• Stable and Robust Sampling Strategies for Compressive Imaging
• Semidefinite Programming
• Phase Retrieval via Matrix Completion

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