HARDI data denoising using vectorial total variation and logarithmic barrier

DOI10.3934/ipi.2010.4.273zbMath1213.92023OpenAlexW2019857416WikidataQ33677717 ScholiaQ33677717MaRDI QIDQ989223

Yunho Kim, Paul M. Thompson, Luminita A. Vese

Publication date: 30 August 2010

Published in: Inverse Problems and Imaging (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/ipi.2010.4.273

zbMATH Keywords

bounded variationimage restorationvariational modelshigh angular resolution diffusion imaginglog barrier method

Mathematics Subject Classification ID

Neural biology (92C20) Biomedical imaging and signal processing (92C55) Variational methods applied to PDEs (35A15) PDEs in connection with biology, chemistry and other natural sciences (35Q92) Inverse problems for PDEs (35R30) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Inverse problems in optimal control (49N45)

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Denoising of diffusion magnetic resonance images using a modified and differentiable Monge-Kantorovich distance for measure-valued functions ⋮ Measure-valued variational models with applications to diffusion-weighted imaging

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