Iterative total variation regularization with non-quadratic fidelity

DOI10.1007/s10851-006-8302-3zbMath1478.94048OpenAlexW2049827213MaRDI QIDQ2384073

Lin He, Martin Burger, Stanley J. Osher

Publication date: 20 September 2007

Published in: Journal of Mathematical Imaging and Vision (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10851-006-8302-3

zbMATH Keywords

iterative regularizationimage denoisingBregman distancesmultiscale methodstotal variation methods

Mathematics Subject Classification ID

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

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• Convergence rates of convex variational regularization
• Aspects of Total Variation RegularizedL¹Function Approximation
• Second-order Cone Programming Methods for Total Variation-Based Image Restoration
• An Iterative Regularization Method for Total Variation-Based Image Restoration

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