Hyperspectral phase imaging with denoising in SVD image subspace

Katkovnik, Vladimir; Shevkunov, Igor; Claus, Daniel; Pedrini, Giancarlo; Egiazarian, Karen (2019-05-19)
 
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Katkovnik, Vladimir
Shevkunov, Igor
Claus, Daniel
Pedrini, Giancarlo
Egiazarian, Karen
19.05.2019

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doi:10.1364/DH.2019.W1B.2
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https://urn.fi/URN:NBN:fi:tuni-202101281775

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Peer reviewed
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We propose a modified denoising algorithm for hyperspectral data. The algorithm is based on a complex domain block-matching 3D filter, on estimation of the noise correlation matrix and on dimension reduction of the Singular Value Decomposition (SVD) eigenspace.
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