Modification of TV-ROF denoising model based on split Bregman iterations

DOI10.1016/j.amc.2017.08.001zbMath1426.94010OpenAlexW2747420942MaRDI QIDQ1740170

Serena Crisci, Livia Marcellino, Rosanna Campagna, Salvatore Cuomo, Gerardo Toraldo

Publication date: 29 April 2019

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

Full work available at URL: https://doi.org/10.1016/j.amc.2017.08.001

zbMATH Keywords

magnetic resonance imagingimage denoisingsplit Bregman algorithmTV-ROF model

Mathematics Subject Classification ID

Convex programming (90C25) Biomedical imaging and signal processing (92C55) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items

Fixed-Point-like method for a new Total variation-based image restoration model, A subspace-accelerated split Bregman method for sparse data recovery with joint \(\ell_1\)-type regularizers

Uses Software

• tvreg

Cites Work

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