Survey of Demosaicking Methods for Polarization Filter Array Images
Snapshot polarization imaging has gained interest in the last few decades. Recent research and technology achievements defined the polarization Filter Array (PFA). It is dedicated to division-of-focal plane polarimeters, which permits to analyze the direction of light electric field oscillation. Its...
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doaj-8f8c6c02c8a94509b58b28faad5e73cd2020-11-25T00:49:45ZengMDPI AGSensors1424-82202018-10-011811368810.3390/s18113688s18113688Survey of Demosaicking Methods for Polarization Filter Array ImagesSofiane Mihoubi0Pierre-Jean Lapray1Laurent Bigué2Centre de Recherche en Informatique, Signal et Automatique de Lille, Université de Lille—CRIStAL, UMR 9189, 59655 Villeneuve d’Ascq CEDEX, FranceInstitut de Recherche en Informatique, Mathématiques, Automatique et Signal, Université de Haute-Alsace—IRIMAS, EA 7499, 68093 Mulhouse CEDEX, FranceInstitut de Recherche en Informatique, Mathématiques, Automatique et Signal, Université de Haute-Alsace—IRIMAS, EA 7499, 68093 Mulhouse CEDEX, FranceSnapshot polarization imaging has gained interest in the last few decades. Recent research and technology achievements defined the polarization Filter Array (PFA). It is dedicated to division-of-focal plane polarimeters, which permits to analyze the direction of light electric field oscillation. Its filters form a mosaicked pattern, in which each pixel only senses a fraction of the total polarization states, so the other missing polarization states have to be interpolated. As for Color or Spectral Filter Arrays (CFA or SFA), several dedicated demosaicking methods exist in the PFA literature. Such methods are mainly based on spatial correlation disregarding inter-channel correlation. We show that polarization channels are strongly correlated in images. We therefore propose to extend some demosaicking methods from CFA/SFA to PFA, and compare them with those that are PFA-oriented. Objective and subjective analysis show that the pseudo panchromatic image difference method provides the best results and can be used as benchmark for PFA demosaicking.https://www.mdpi.com/1424-8220/18/11/3688polarization filter arraymicro-polarizer filter arrayspatial interpolationdemosaickingdemosaicingpolarization imagingdivision-of-focal-plane polarimeter |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Sofiane Mihoubi Pierre-Jean Lapray Laurent Bigué |
spellingShingle |
Sofiane Mihoubi Pierre-Jean Lapray Laurent Bigué Survey of Demosaicking Methods for Polarization Filter Array Images Sensors polarization filter array micro-polarizer filter array spatial interpolation demosaicking demosaicing polarization imaging division-of-focal-plane polarimeter |
author_facet |
Sofiane Mihoubi Pierre-Jean Lapray Laurent Bigué |
author_sort |
Sofiane Mihoubi |
title |
Survey of Demosaicking Methods for Polarization Filter Array Images |
title_short |
Survey of Demosaicking Methods for Polarization Filter Array Images |
title_full |
Survey of Demosaicking Methods for Polarization Filter Array Images |
title_fullStr |
Survey of Demosaicking Methods for Polarization Filter Array Images |
title_full_unstemmed |
Survey of Demosaicking Methods for Polarization Filter Array Images |
title_sort |
survey of demosaicking methods for polarization filter array images |
publisher |
MDPI AG |
series |
Sensors |
issn |
1424-8220 |
publishDate |
2018-10-01 |
description |
Snapshot polarization imaging has gained interest in the last few decades. Recent research and technology achievements defined the polarization Filter Array (PFA). It is dedicated to division-of-focal plane polarimeters, which permits to analyze the direction of light electric field oscillation. Its filters form a mosaicked pattern, in which each pixel only senses a fraction of the total polarization states, so the other missing polarization states have to be interpolated. As for Color or Spectral Filter Arrays (CFA or SFA), several dedicated demosaicking methods exist in the PFA literature. Such methods are mainly based on spatial correlation disregarding inter-channel correlation. We show that polarization channels are strongly correlated in images. We therefore propose to extend some demosaicking methods from CFA/SFA to PFA, and compare them with those that are PFA-oriented. Objective and subjective analysis show that the pseudo panchromatic image difference method provides the best results and can be used as benchmark for PFA demosaicking. |
topic |
polarization filter array micro-polarizer filter array spatial interpolation demosaicking demosaicing polarization imaging division-of-focal-plane polarimeter |
url |
https://www.mdpi.com/1424-8220/18/11/3688 |
work_keys_str_mv |
AT sofianemihoubi surveyofdemosaickingmethodsforpolarizationfilterarrayimages AT pierrejeanlapray surveyofdemosaickingmethodsforpolarizationfilterarrayimages AT laurentbigue surveyofdemosaickingmethodsforpolarizationfilterarrayimages |
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1725251384805163008 |