A Variational Approach for Sharpening High Dimensional Images

DOI10.1137/100810356zbMath1258.94018OpenAlexW2023911449MaRDI QIDQ2912266

Martin Burger, Todd Wittman, Michael Moeller, Andrea L. Bertozzi

Publication date: 14 September 2012

Published in: SIAM Journal on Imaging Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1137/100810356

zbMATH Keywords

variational approachimage fusionhyperspectral datapan-sharpeningmultispectral data

Mathematics Subject Classification ID

Numerical optimization and variational techniques (65K10) Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Computational methods for problems pertaining to geophysics (86-08)

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Pansharpening image fusion using cross-channel correlation: a framelet-based approach ⋮ Multicontrast MRI Reconstruction with Structure-Guided Total Variation ⋮ A dual split Bregman method for fast $\ell ^1$ minimization ⋮ Incorporating structural prior information and sparsity into EIT using parallel level sets ⋮ Blind image fusion for hyperspectral imaging with the directional total variation ⋮ A Guide to the TV Zoo ⋮ Modern regularization methods for inverse problems

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