A Method of Removing Reflected Highlight on Images Based on Polarimetric Imaging

A Method of Removing Reflected Highlight on Images Based on Polarimetric Imaging

A method of removing reflected highlight is proposed on polarimetric imaging. Polarization images (0°, 45°, 90°, and 135°) and the reflection angle are required in this reflected light removal algorithm. This method is based on the physical model of reflection and refraction, and no additional image...

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Main Authors: Fanchao Yang, Xingjia Tang, Bingliang Hu, Ruyi Wei, Liang Kong, Yong Li
Format: Article
Language:English
Published: Hindawi Limited 2016-01-01
Series:Journal of Sensors
Online Access:http://dx.doi.org/10.1155/2016/9537320
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spelling doaj-c845704e566f4295af838f3a4fae51572020-11-24T21:28:25ZengHindawi LimitedJournal of Sensors1687-725X1687-72682016-01-01201610.1155/2016/95373209537320A Method of Removing Reflected Highlight on Images Based on Polarimetric ImagingFanchao Yang0Xingjia Tang1Bingliang Hu2Ruyi Wei3Liang Kong4Yong Li5Key Laboratory of Spectral Imaging Technology, Xi’an Institute of Optics and Precision Mechanic, Chinese Academy of Sciences, Xi’an 710119, ChinaKey Laboratory of Spectral Imaging Technology, Xi’an Institute of Optics and Precision Mechanic, Chinese Academy of Sciences, Xi’an 710119, ChinaKey Laboratory of Spectral Imaging Technology, Xi’an Institute of Optics and Precision Mechanic, Chinese Academy of Sciences, Xi’an 710119, ChinaKey Laboratory of Spectral Imaging Technology, Xi’an Institute of Optics and Precision Mechanic, Chinese Academy of Sciences, Xi’an 710119, ChinaKey Laboratory of Spectral Imaging Technology, Xi’an Institute of Optics and Precision Mechanic, Chinese Academy of Sciences, Xi’an 710119, ChinaKey Laboratory of Spectral Imaging Technology, Xi’an Institute of Optics and Precision Mechanic, Chinese Academy of Sciences, Xi’an 710119, ChinaA method of removing reflected highlight is proposed on polarimetric imaging. Polarization images (0°, 45°, 90°, and 135°) and the reflection angle are required in this reflected light removal algorithm. This method is based on the physical model of reflection and refraction, and no additional image processing algorithm is necessary in this algorithm. Compared to traditional polarization method with single polarizer, restricted observation angle of Brewster is not demanded and multiple reflection areas of different polarization orientations can be removed simultaneously. Experimental results, respectively, demonstrate the features of this reflected light removal algorithm, and it can be considered very suitable in polarization remote sensing.http://dx.doi.org/10.1155/2016/9537320
collection DOAJ
language English
format Article
sources DOAJ
author Fanchao Yang
Xingjia Tang
Bingliang Hu
Ruyi Wei
Liang Kong
Yong Li
spellingShingle Fanchao Yang
Xingjia Tang
Bingliang Hu
Ruyi Wei
Liang Kong
Yong Li
A Method of Removing Reflected Highlight on Images Based on Polarimetric Imaging
Journal of Sensors
author_facet Fanchao Yang
Xingjia Tang
Bingliang Hu
Ruyi Wei
Liang Kong
Yong Li
author_sort Fanchao Yang
title A Method of Removing Reflected Highlight on Images Based on Polarimetric Imaging
title_short A Method of Removing Reflected Highlight on Images Based on Polarimetric Imaging
title_full A Method of Removing Reflected Highlight on Images Based on Polarimetric Imaging
title_fullStr A Method of Removing Reflected Highlight on Images Based on Polarimetric Imaging
title_full_unstemmed A Method of Removing Reflected Highlight on Images Based on Polarimetric Imaging
title_sort method of removing reflected highlight on images based on polarimetric imaging
publisher Hindawi Limited
series Journal of Sensors
issn 1687-725X
1687-7268
publishDate 2016-01-01
description A method of removing reflected highlight is proposed on polarimetric imaging. Polarization images (0°, 45°, 90°, and 135°) and the reflection angle are required in this reflected light removal algorithm. This method is based on the physical model of reflection and refraction, and no additional image processing algorithm is necessary in this algorithm. Compared to traditional polarization method with single polarizer, restricted observation angle of Brewster is not demanded and multiple reflection areas of different polarization orientations can be removed simultaneously. Experimental results, respectively, demonstrate the features of this reflected light removal algorithm, and it can be considered very suitable in polarization remote sensing.
url http://dx.doi.org/10.1155/2016/9537320
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