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CFA Bayer image sequence denoising and demosaicking chain
The proposed algorithm uses a spatio-temporal patch method for the noise removal and demosaicking of the CFA.
Restoration of Pansharpened Images by Conditional Filtering in the PCA Domain
Pansharpening techniques aim at fusing low-resolution multispectral (MS) images and high-resolution panchromatic (PAN) images to produce high-resolution MS images.
A Survey of Pansharpening Methods with A New Band-Decoupled Variational Model
Pansharpening is a fusion technique used to increase the spatial resolution of the multispectral data while simultaneously preserving its spectral information.
Collaborative Total Variation: A General Framework for Vectorial TV Models
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.
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