Tampere University of Technology

TUTCRIS Research Portal

Hyperspectral phase imaging with denoising in SVD image subspace

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Details

Original languageEnglish
Title of host publicationDigital Holography and Three-Dimensional Imaging 2019
PublisherOptical Society of America
ISBN (Electronic)978-1-943580-59-0
DOIs
Publication statusPublished - 19 May 2019
Publication typeA4 Article in a conference publication
EventDigital Holography and Three-Dimensional Imaging -
Duration: 1 Jan 2000 → …

Conference

ConferenceDigital Holography and Three-Dimensional Imaging
Period1/01/00 → …

Abstract

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.

Publication forum classification

Field of science, Statistics Finland