Inpainting via sparse recovery with directional constraints

DOI10.3934/mfc.2020025zbMath1485.68273MaRDI QIDQ2063335

Xuemei Chen, Julia A. Dobrosotskaya

Publication date: 11 January 2022

Published in: Mathematical Foundations of Computing (Search for Journal in Brave)

zbMATH Keywords

sparsitycompressed sensingadaptiveinpaintingdirectional

Mathematics Subject Classification ID

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

Related Items (1)

Compressed data separation via unconstrained l1-split analysis

Uses Software

• RecPF

Cites Work

• Nonlinear total variation based noise removal algorithms
• Perturbations of measurement matrices and dictionaries in compressed sensing
• Compressed sensing with coherent and redundant dictionaries
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• Data-driven tight frame construction and image denoising
• Convergence analysis for iterative data-driven tight frame construction scheme
• Data-driven multi-scale non-local wavelet frame construction and image recovery
• A framelet-based image inpainting algorithm
• Simultaneous cartoon and texture image inpainting using morphological component analysis (MCA)
• Mathematical Models for Local Nontexture Inpaintings
• Robust principal component analysis?
• Adaptive Multiresolution Analysis Structures and Shearlet Systems
• A New Alternating Minimization Algorithm for Total Variation Image Reconstruction
• Analysis of a Two-Scale Cahn–Hilliard Model for Binary Image Inpainting
• Split Bregman Methods and Frame Based Image Restoration
• Image Inpainting by Patch Propagation Using Patch Sparsity
• Stable signal recovery from incomplete and inaccurate measurements
• Compressed sensing

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