IMAGE INPAINTING FROM PARTIAL NOISY DATA BY DIRECTIONAL COMPLEX TIGHT FRAMELETS

DOI10.1017/S1446181117000219zbMath1404.94007OpenAlexW4235829070MaRDI QIDQ5370779

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Publication date: 20 October 2017

Published in: The ANZIAM Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1017/s1446181117000219

zbMATH Keywords

noisy dataiterative schemesparse representationimage inpaintingdirectional tensor product complex tight framelets

Mathematics Subject Classification ID

Nontrigonometric harmonic analysis involving wavelets and other special systems (42C40) Numerical methods for wavelets (65T60) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) General harmonic expansions, frames (42C15)

Related Items (3)

Analysis of simultaneous inpainting and geometric separation based on sparse decomposition ⋮ Directional wavelet packets originating from polynomial splines ⋮ Directional Compactly Supported Tensor Product Complex Tight Framelets with Applications to Image Denoising and Inpainting

Cites Work

• Nonhomogeneous wavelet systems in high dimensions
• Simultaneous cartoon and texture inpainting
• A framelet-based image inpainting algorithm
• Simultaneous cartoon and texture image inpainting using morphological component analysis (MCA)
• Tensor Product Complex Tight Framelets with Increasing Directionality
• Split Bregman Methods and Frame Based Image Restoration
• Sparse and Redundant Representations
• New tight frames of curvelets and optimal representations of objects with piecewise C² singularities
• Properties of Discrete Framelet Transforms
• Adaptive Inpainting Algorithm Based on DCT Induced Wavelet Regularization
• Nonseparable Shearlet Transform
• Image Processing and Analysis

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