Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: 2D-1D Wavelet Reconstruction As A Tool For Source Finding In
  Spectroscopic Imaging Surveys   Today, image denoising by thresholding of wavelet coefficients is a commonly
used tool for 2D image enhancement. Since the data product of spectroscopic
imaging surveys has two spatial and one spectral dimension, the techniques for
denoising have to be adapted to this change in dimensionality. In this paper we
will review the basic method of denoising data by thresholding wavelet
coefficients and implement a 2D-1D wavelet decomposition to obtain an efficient
way of denoising spectroscopic data cubes. We conduct different simulations to
evaluate the usefulness of the algorithm as part of a source finding pipeline.

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The categories of this paper are: stat
37
The categories of this paper are: supr-con
0
The categories of this paper are: hep-ph
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The categories of this paper are: hep-lat
24
The categories of this paper are: dg-ga
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The categories of this paper are: nlin
2
The categories of this paper are: math
7
The categories of this paper are: hep-th
3
The categories of this paper are: physics
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The categories of this paper are: comp-gas
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The categories of this paper are: patt-sol
14
The categories of this paper are: math-ph
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The categories of this paper are: econ
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The categories of this paper are: eess
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The categories of this paper are: solv-int
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The categories of this paper are: funct-an