Flexible parameter selection methods for Rician noise removal with convergence guarantee

DOI10.1080/00207160.2022.2045282OpenAlexW4214506815MaRDI QIDQ5044132

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Publication date: 24 October 2022

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

Full work available at URL: https://doi.org/10.1080/00207160.2022.2045282

zbMATH Keywords

total variationRician noiseconvergence guaranteeautomatic parameter selectionnon-convex model

Mathematics Subject Classification ID

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

Cites Work

• An algorithm for total variation minimization and applications
• Convergence of descent methods for semi-algebraic and tame problems: proximal algorithms, forward-backward splitting, and regularized Gauss-Seidel methods
• Variational image restoration and segmentation with Rician noise
• A convex variational model for restoring blurred images with large Rician noise
• A Block Coordinate Descent Method for Regularized Multiconvex Optimization with Applications to Nonnegative Tensor Factorization and Completion
• Proximal Alternating Minimization and Projection Methods for Nonconvex Problems: An Approach Based on the Kurdyka-Łojasiewicz Inequality
• Spatially Adapted Total Variation Model to Remove Multiplicative Noise
• The Łojasiewicz Inequality for Nonsmooth Subanalytic Functions with Applications to Subgradient Dynamical Systems

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