Hyperspectral phase imaging with denoising in SVD image subspace
Katkovnik, Vladimir; Shevkunov, Igor; Claus, Daniel; Pedrini, Giancarlo; Egiazarian, Karen (2019-05-19)
Katkovnik, Vladimir
Shevkunov, Igor
Claus, Daniel
Pedrini, Giancarlo
Egiazarian, Karen
Optical Society of America
19.05.2019
Digital Holography and Three-Dimensional Imaging 2019
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tuni-202101281775
https://urn.fi/URN:NBN:fi:tuni-202101281775
Kuvaus
Peer reviewed
Tiivistelmä
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.
Kokoelmat
- TUNICRIS-julkaisut [16977]