Edge-preserving wavelet thresholding for image denoising

DOI10.1016/j.cam.2006.10.069zbMath1145.68048OpenAlexW2134902287MaRDI QIDQ2475370

Damiana Lazzaro, L. Bacchelli Montefusco

Publication date: 11 March 2008

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cam.2006.10.069

zbMATH Keywords

potential functionsimage denoisingthresholding estimators

Mathematics Subject Classification ID

Ridge regression; shrinkage estimators (Lasso) (62J07) Computing methodologies for image processing (68U10) Numerical aspects of computer graphics, image analysis, and computational geometry (65D18) Numerical methods for wavelets (65T60) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

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Cites Work

• Ideal spatial adaptation by wavelet shrinkage
• Regularization of Wavelet Approximations
• Nonlinear wavelet image processing: variational problems, compression, and noise removal through wavelet shrinkage
• An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
• On the Equivalence of Soft Wavelet Shrinkage, Total Variation Diffusion, Total Variation Regularization, and SIDEs
• Analysis of the Recovery of Edges in Images and Signals by Minimizing Nonconvex Regularized Least-Squares
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