A framework for image deblurring using wavelet packet bases

DOI10.1006/acha.2002.0379zbMath1007.68200OpenAlexW1994813083MaRDI QIDQ1849223

François Malgouyres

Publication date: 28 November 2002

Published in: Applied and Computational Harmonic Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1006/acha.2002.0379

zbMATH Keywords

wavelet packet

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10)

Related Items (4)

Accelerating \(\ell^1\)-\(\ell^2\) deblurring using wavelet expansions of operators ⋮ A stable method solving the total variation dictionary model with \(L^\infty\) constraints ⋮ Some novel linear regularization methods for a deblurring problem ⋮ Towards artifact-free characterization of surface topography using complex wavelets and total variation minimization

Uses Software

• DT-CWT

Cites Work

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• Nonlinear total variation based noise removal algorithms
• Image recovery via total variation minimization and related problems
• Minimax estimation via wavelet shrinkage
• Nonlinear solution of linear inverse problems by wavelet-vaguelette decomposition
• A view of three decades of linear filtering theory
• On the Convergence of the Lagged Diffusivity Fixed Point Method in Total Variation Image Restoration
• Nonlinear wavelet image processing: variational problems, compression, and noise removal through wavelet shrinkage
• Image deblurring, spectrum interpolation and application to satellite imaging
• Local Strong Homogeneity of a Regularized Estimator
• Explicit Algorithms for a New Time Dependent Model Based on Level Set Motion for Nonlinear Deblurring and Noise Removal
• Structural Properties of Solutions to Total Variation Regularization Problems
• Image processing with complex wavelets

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