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The problem of multidimensional data reconstruction from an incomplete set of observations is addressed in this paper. It has been recently shown that learned dictionaries are very effective in image denoising and inpainting applications. Here we extend the core idea in image inpainting to the case of 3-D data. Our main objective is to exploit both spatial and spectral/temporal information for recovering...
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