3-D data denoising and inpainting with the low-redundancy fast curvelet transform

DOI10.1007/s10851-010-0231-5zbMath1255.68273OpenAlexW2015976733MaRDI QIDQ1932824

A. Woiselle, Jalal Fadili, Jean-Luc Starck

Publication date: 22 January 2013

Published in: Journal of Mathematical Imaging and Vision (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10851-010-0231-5

zbMATH Keywords

denoisingsparsityinpaintingmorphological component analysis3-D curveletsvideo deinterlacing

Mathematics Subject Classification ID

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

Related Items (3)

Pseudo-outcrop visualization of borehole images and core scans ⋮ Directional tensor product complex tight framelets with low redundancy ⋮ ShearLab 3D

Cites Work

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• Representation and Compression of Multidimensional Piecewise Functions Using Surflets
• The Double-Density Dual-Tree DWT
• Fast Discrete Curvelet Transforms
• Sparse Image and Signal Processing
• Complex wavelets for shift invariant analysis and filtering of signals

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