Wavelet-based minimal-energy approach to image restoration

DOI10.1016/j.acha.2007.01.006zbMath1118.68175OpenAlexW2027774605WikidataQ113104555 ScholiaQ113104555MaRDI QIDQ2371330

Jian-zhong Wang, Charles K. Chui

Publication date: 4 July 2007

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

Full work available at URL: https://doi.org/10.1016/j.acha.2007.01.006

zbMATH Keywords

waveletsimage restorationminimal energy equation

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Numerical methods for wavelets (65T60) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (4)

Multiresolution Analysis for Minimal Energy C r -Surfaces on Powell-Sabin Type Meshes ⋮ Convergence analysis of the Bregman method for the variational model of image denoising ⋮ An MRA approach to surface completion and image inpainting ⋮ On Alpert multiwavelets

Uses Software

• Wavelet Toolbox

Cites Work

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• Total variation wavelet inpainting
• Wavelets on the interval and fast wavelet transforms
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• An Optimization‐Based Multilevel Algorithm for Total Variation Image Denoising
• Ten Lectures on Wavelets
• Wavelet Thresholding via A Bayesian Approach
• Ideal spatial adaptation by wavelet shrinkage
• Adaptive Bayesian Wavelet Shrinkage
• Reconstruction of Wavelet Coefficients Using Total Variation Minimization
• Nonlinear wavelet image processing: variational problems, compression, and noise removal through wavelet shrinkage
• ENO-Wavelet Transforms for Piecewise Smooth Functions
• Iterative Methods for Total Variation Denoising
• Families of Orthogonal Two-Dimensional Wavelets
• Aspects of Total Variation RegularizedL¹Function Approximation
• Second-order Cone Programming Methods for Total Variation-Based Image Restoration

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