Skip to content

Denoising imaging polarimetry by adapted BM3D method

Research output: Contribution to journalArticle

Standard

Denoising imaging polarimetry by adapted BM3D method. / Tibbs, Alex; Daly, Ilse; Roberts, Nicholas; Bull, David.

In: Journal of the Optical Society of America A, Vol. 35, No. 4, 30.03.2018, p. 690-701.

Research output: Contribution to journalArticle

Harvard

Tibbs, A, Daly, I, Roberts, N & Bull, D 2018, 'Denoising imaging polarimetry by adapted BM3D method', Journal of the Optical Society of America A, vol. 35, no. 4, pp. 690-701. https://doi.org/10.1364/JOSAA.35.000690

APA

Vancouver

Tibbs A, Daly I, Roberts N, Bull D. Denoising imaging polarimetry by adapted BM3D method. Journal of the Optical Society of America A. 2018 Mar 30;35(4):690-701. https://doi.org/10.1364/JOSAA.35.000690

Author

Tibbs, Alex ; Daly, Ilse ; Roberts, Nicholas ; Bull, David. / Denoising imaging polarimetry by adapted BM3D method. In: Journal of the Optical Society of America A. 2018 ; Vol. 35, No. 4. pp. 690-701.

Bibtex

@article{dbf9c27ec78a4a74916d5285fcf18201,
title = "Denoising imaging polarimetry by adapted BM3D method",
abstract = "In addition to the visual information contained in intensity and color, imaging polarimetry allows visual information to be extracted from the polarization of light. However, a major challenge of imaging polarimetry is image degradation due to noise. This paper investigates the mitigation of noise through denoising algorithms and compares existing denoising algorithms with a new method, based on BM3D (Block Matching 3D). This algorithm, Polarization-BM3D (PBM3D), gives visual quality superior to the state of the art across all images and noise standard deviations tested. We show that denoising polarization images using PBM3D allows the degree of polarization to be more accurately calculated by comparing it with spectral polarimetry measurements.",
author = "Alex Tibbs and Ilse Daly and Nicholas Roberts and David Bull",
note = "Accepted manuscript in journal's template.",
year = "2018",
month = "3",
day = "30",
doi = "10.1364/JOSAA.35.000690",
language = "English",
volume = "35",
pages = "690--701",
journal = "Journal of the Optical Society of America A",
issn = "1084-7529",
publisher = "Optical Society of America (OSA)",
number = "4",

}

RIS - suitable for import to EndNote

TY - JOUR

T1 - Denoising imaging polarimetry by adapted BM3D method

AU - Tibbs, Alex

AU - Daly, Ilse

AU - Roberts, Nicholas

AU - Bull, David

N1 - Accepted manuscript in journal's template.

PY - 2018/3/30

Y1 - 2018/3/30

N2 - In addition to the visual information contained in intensity and color, imaging polarimetry allows visual information to be extracted from the polarization of light. However, a major challenge of imaging polarimetry is image degradation due to noise. This paper investigates the mitigation of noise through denoising algorithms and compares existing denoising algorithms with a new method, based on BM3D (Block Matching 3D). This algorithm, Polarization-BM3D (PBM3D), gives visual quality superior to the state of the art across all images and noise standard deviations tested. We show that denoising polarization images using PBM3D allows the degree of polarization to be more accurately calculated by comparing it with spectral polarimetry measurements.

AB - In addition to the visual information contained in intensity and color, imaging polarimetry allows visual information to be extracted from the polarization of light. However, a major challenge of imaging polarimetry is image degradation due to noise. This paper investigates the mitigation of noise through denoising algorithms and compares existing denoising algorithms with a new method, based on BM3D (Block Matching 3D). This algorithm, Polarization-BM3D (PBM3D), gives visual quality superior to the state of the art across all images and noise standard deviations tested. We show that denoising polarization images using PBM3D allows the degree of polarization to be more accurately calculated by comparing it with spectral polarimetry measurements.

UR - http://www.scopus.com/inward/record.url?scp=85044577855&partnerID=8YFLogxK

U2 - 10.1364/JOSAA.35.000690

DO - 10.1364/JOSAA.35.000690

M3 - Article

VL - 35

SP - 690

EP - 701

JO - Journal of the Optical Society of America A

JF - Journal of the Optical Society of America A

SN - 1084-7529

IS - 4

ER -