A well-posed multiscale regularization scheme for digital image denoising

DOI10.2478/v10006-011-0061-7zbMath1283.68385OpenAlexW2168059149MaRDI QIDQ5403431

V. B. Surya Prasath

Publication date: 26 March 2014

Published in: International Journal of Applied Mathematics and Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2478/v10006-011-0061-7

zbMATH Keywords

regularizationimage restorationedge-preservingadaptive parameternormalized local variance

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10)

Related Items (8)

Color image processing by vectorial total variation with gradient channels coupling ⋮ Compression artifacts reduction with multiscale tensor regularization ⋮ Application of the partitioning method to specific Toeplitz matrices ⋮ On convergent finite difference schemes for variational-PDE-based image processing ⋮ Weighted and well-balanced anisotropic diffusion scheme for image denoising and restoration ⋮ Tikhonov regularization and constrained quadratic programming for magnetic coil design problems ⋮ An efficient algorithm for adaptive total variation based image decomposition and restoration ⋮ An efficient algorithm for estimating the parameters of superimposed exponential signals in multiplicative and additive noise

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• Nonlocal Linear Image Regularization and Supervised Segmentation
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images

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