Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Tensor Deblurring and Denoising Using Total Variation   We consider denoising and deblurring problems for tensors. While images can
be discretized as matrices, the analogous procedure for color images or videos
leads to a tensor formulation. We extend the classical ROF functional for
variational denoising and deblurring to the tensor case by employing
multi-dimensional total variation regularization. Furthermore, the resulting
minimization problem is calculated by the FISTA method generalized to the
tensor case. We provide some numerical experiments by applying the scheme to
the denoising, the deblurring, and the recoloring of color images as well as to
the deblurring of videos.

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The categories of this paper are: plasm-ph
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The categories of this paper are: econ
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The categories of this paper are: atom-ph
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The categories of this paper are: hep-th
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The categories of this paper are: hep-ex
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The categories of this paper are: alg-geom
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The categories of this paper are: cmp-lg
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The categories of this paper are: q-bio
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The categories of this paper are: solv-int
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The categories of this paper are: astro-ph
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The categories of this paper are: funct-an
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The categories of this paper are: eess
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The categories of this paper are: chem-ph
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The categories of this paper are: cond-mat
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The categories of this paper are: bayes-an
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The categories of this paper are: supr-con