Search Results for author: Catalina Sbert

Found 2 papers, 0 papers with code

A Survey of Pansharpening Methods with A New Band-Decoupled Variational Model

no code implementations17 Jun 2016 Joan Duran, Antoni Buades, Bartomeu Coll, Catalina Sbert, Gwendoline Blanchet

Pansharpening is a fusion technique used to increase the spatial resolution of the multispectral data while simultaneously preserving its spectral information.

Pansharpening

Collaborative Total Variation: A General Framework for Vectorial TV Models

no code implementations6 Aug 2015 Joan Duran, Michael Moeller, Catalina Sbert, Daniel Cremers

Even after over two decades, the total variation (TV) remains one of the most popular regularizations for image processing problems and has sparked a tremendous amount of research, particularly to move from scalar to vector-valued functions.

Deblurring Denoising

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