A framework for image deblurring using wavelet packet bases
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Publication:1849223
DOI10.1006/acha.2002.0379zbMath1007.68200OpenAlexW1994813083MaRDI QIDQ1849223
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
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
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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