Correlations in Joint Spectral and Polarization Imaging
Recent imaging techniques enable the joint capture of spectral and polarization image data. In order to permit the design of computational imaging techniques and future processing of this information, it is interesting to describe the related image statistics. In particular, in this article, we pres...
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doaj-f6dec24e57fb4bb3a6b63412447312a52020-12-23T00:02:49ZengMDPI AGSensors1424-82202021-12-01216610.3390/s21010006Correlations in Joint Spectral and Polarization ImagingGuillaume Courtier0Pierre-Jean Lapray1Jean-Baptiste Thomas2Ivar Farup3Institut de Recherche en Informatique, Mathématiques, Automatique et Signal, Université de Haute-Alsace, F-68100 Mulhouse, FranceInstitut de Recherche en Informatique, Mathématiques, Automatique et Signal, Université de Haute-Alsace, F-68100 Mulhouse, FranceDepartment of Computer Science, Norwegian University of Science and Technology, 2806 Gjøvik, NorwayDepartment of Computer Science, Norwegian University of Science and Technology, 2806 Gjøvik, NorwayRecent imaging techniques enable the joint capture of spectral and polarization image data. In order to permit the design of computational imaging techniques and future processing of this information, it is interesting to describe the related image statistics. In particular, in this article, we present observations for different correlations between spectropolarimetric channels. The analysis is performed on several publicly available databases that are unified for joint processing. We perform global investigation and analysis on several specific clusters of materials or reflection types. We observe that polarization channels generally have more inter-channel correlation than the spectral channels.https://www.mdpi.com/1424-8220/21/1/6spectral imagingpolarization imagingdata analysiscorrelation analysis |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Guillaume Courtier Pierre-Jean Lapray Jean-Baptiste Thomas Ivar Farup |
spellingShingle |
Guillaume Courtier Pierre-Jean Lapray Jean-Baptiste Thomas Ivar Farup Correlations in Joint Spectral and Polarization Imaging Sensors spectral imaging polarization imaging data analysis correlation analysis |
author_facet |
Guillaume Courtier Pierre-Jean Lapray Jean-Baptiste Thomas Ivar Farup |
author_sort |
Guillaume Courtier |
title |
Correlations in Joint Spectral and Polarization Imaging |
title_short |
Correlations in Joint Spectral and Polarization Imaging |
title_full |
Correlations in Joint Spectral and Polarization Imaging |
title_fullStr |
Correlations in Joint Spectral and Polarization Imaging |
title_full_unstemmed |
Correlations in Joint Spectral and Polarization Imaging |
title_sort |
correlations in joint spectral and polarization imaging |
publisher |
MDPI AG |
series |
Sensors |
issn |
1424-8220 |
publishDate |
2021-12-01 |
description |
Recent imaging techniques enable the joint capture of spectral and polarization image data. In order to permit the design of computational imaging techniques and future processing of this information, it is interesting to describe the related image statistics. In particular, in this article, we present observations for different correlations between spectropolarimetric channels. The analysis is performed on several publicly available databases that are unified for joint processing. We perform global investigation and analysis on several specific clusters of materials or reflection types. We observe that polarization channels generally have more inter-channel correlation than the spectral channels. |
topic |
spectral imaging polarization imaging data analysis correlation analysis |
url |
https://www.mdpi.com/1424-8220/21/1/6 |
work_keys_str_mv |
AT guillaumecourtier correlationsinjointspectralandpolarizationimaging AT pierrejeanlapray correlationsinjointspectralandpolarizationimaging AT jeanbaptistethomas correlationsinjointspectralandpolarizationimaging AT ivarfarup correlationsinjointspectralandpolarizationimaging |
_version_ |
1724373950622859264 |