PCA-based denoising method for division of focal plane polarimeters

Junchao Zhang, Haibo Luo, Rongguang Liang, Wei Zhou, Bin Hui, Zheng Chang

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

Division of focal plane (DoFP) polarimeters are composed of interlaced linear polarizers overlaid upon a focal plane array sensor. The interpolation is essential to reconstruct polarization information. However, current interpolation methods are based on the unrealistic assumption of noise-free images. Thus, it is advantageous to carry out denoising before interpolation. In this paper, we propose a principle component analysis (PCA) based denoising method, which works directly on DoFP images. Both simulated and real DoFP images are used to evaluate the denoising performance. Experimental results show that the proposed method can effectively suppress noise while preserving edges.

Original languageEnglish (US)
Pages (from-to)2391-2400
Number of pages10
JournalOptics Express
Volume25
Issue number3
DOIs
StatePublished - Feb 6 2017

Fingerprint

polarimeters
division
interpolation
focal plane devices
polarizers
preserving
sensors
polarization

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics

Cite this

PCA-based denoising method for division of focal plane polarimeters. / Zhang, Junchao; Luo, Haibo; Liang, Rongguang; Zhou, Wei; Hui, Bin; Chang, Zheng.

In: Optics Express, Vol. 25, No. 3, 06.02.2017, p. 2391-2400.

Research output: Contribution to journalArticle

Zhang, J, Luo, H, Liang, R, Zhou, W, Hui, B & Chang, Z 2017, 'PCA-based denoising method for division of focal plane polarimeters', Optics Express, vol. 25, no. 3, pp. 2391-2400. https://doi.org/10.1364/OE.25.002391
Zhang, Junchao ; Luo, Haibo ; Liang, Rongguang ; Zhou, Wei ; Hui, Bin ; Chang, Zheng. / PCA-based denoising method for division of focal plane polarimeters. In: Optics Express. 2017 ; Vol. 25, No. 3. pp. 2391-2400.
@article{ce63d79e911649bfbf90c001d6941e4f,
title = "PCA-based denoising method for division of focal plane polarimeters",
abstract = "Division of focal plane (DoFP) polarimeters are composed of interlaced linear polarizers overlaid upon a focal plane array sensor. The interpolation is essential to reconstruct polarization information. However, current interpolation methods are based on the unrealistic assumption of noise-free images. Thus, it is advantageous to carry out denoising before interpolation. In this paper, we propose a principle component analysis (PCA) based denoising method, which works directly on DoFP images. Both simulated and real DoFP images are used to evaluate the denoising performance. Experimental results show that the proposed method can effectively suppress noise while preserving edges.",
author = "Junchao Zhang and Haibo Luo and Rongguang Liang and Wei Zhou and Bin Hui and Zheng Chang",
year = "2017",
month = "2",
day = "6",
doi = "10.1364/OE.25.002391",
language = "English (US)",
volume = "25",
pages = "2391--2400",
journal = "Optics Express",
issn = "1094-4087",
publisher = "The Optical Society",
number = "3",

}

TY - JOUR

T1 - PCA-based denoising method for division of focal plane polarimeters

AU - Zhang, Junchao

AU - Luo, Haibo

AU - Liang, Rongguang

AU - Zhou, Wei

AU - Hui, Bin

AU - Chang, Zheng

PY - 2017/2/6

Y1 - 2017/2/6

N2 - Division of focal plane (DoFP) polarimeters are composed of interlaced linear polarizers overlaid upon a focal plane array sensor. The interpolation is essential to reconstruct polarization information. However, current interpolation methods are based on the unrealistic assumption of noise-free images. Thus, it is advantageous to carry out denoising before interpolation. In this paper, we propose a principle component analysis (PCA) based denoising method, which works directly on DoFP images. Both simulated and real DoFP images are used to evaluate the denoising performance. Experimental results show that the proposed method can effectively suppress noise while preserving edges.

AB - Division of focal plane (DoFP) polarimeters are composed of interlaced linear polarizers overlaid upon a focal plane array sensor. The interpolation is essential to reconstruct polarization information. However, current interpolation methods are based on the unrealistic assumption of noise-free images. Thus, it is advantageous to carry out denoising before interpolation. In this paper, we propose a principle component analysis (PCA) based denoising method, which works directly on DoFP images. Both simulated and real DoFP images are used to evaluate the denoising performance. Experimental results show that the proposed method can effectively suppress noise while preserving edges.

UR - http://www.scopus.com/inward/record.url?scp=85011579967&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85011579967&partnerID=8YFLogxK

U2 - 10.1364/OE.25.002391

DO - 10.1364/OE.25.002391

M3 - Article

AN - SCOPUS:85011579967

VL - 25

SP - 2391

EP - 2400

JO - Optics Express

JF - Optics Express

SN - 1094-4087

IS - 3

ER -