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Today, image denoising by thresholding of wavelet coefficients is a commonlyused tool for 2D image enhancement. Since the data product of spectroscopicimaging surveys has two spatial and one spectral dimension, the techniques fordenoising have to be adapted to this change in dimensionality. In this paper wewill review the basic method of denoising data by thresholding waveletcoefficients and implement a 2D-1D wavelet decomposition to obtain an efficientway of denoising spectroscopic data cubes. We conduct different simulations toevaluate the usefulness of the algorithm as part of a source finding pipeline.

2D-1D Wavelet Reconstruction As A Tool For Source Finding In Spectroscopic Imaging Surveys