Improved microgrid arrangement for integrated imaging polarimeters

LeMaster, Daniel A.; Hirakawa, Keigo

doi:10.1364/ol.39.001811

Cited by 50 publications

(18 citation statements)

References 7 publications

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“…We want to note that the analysis of DoFP polarimeters performance presented in this manuscript is limited to optimizing metrics that measure the noise amplification from intensity measures at the CCD camera to the final polarimetric measurements. However, MPAs were shown to be spatially-modulated channeled systems [20,[25][26][27] and further analysis could be performed in a future based on Fourier-domain processing in order to study some considerations towards the effect of misalignment on the channeled nature of DoFP polarimeters.…”

Section: Now We Show Inmentioning

confidence: 99%

Misalignment error analysis in polychromatic division of focal plane Stokes polarimeters

et al. 2019

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Snapshot imaging polarimeters are used in many different areas. Recently, division of focal plane (DoFP) polarimeters have proved useful as snapshot polarimeters for dynamic applications. For an optimal performance of polarimeters, different works dealing with the error analysis of such devices are proposed in literature. In terms of noise amplification from intensity measurements to the final polarization calculations, well-established quality metrics, as in the condition number or the equally weighted variance criteria, are used. Other studies analyze systematic errors due to deviations in the construction parameters. However, something not considered so far is the effect produced by misalignment between the various pixelated masks over the pixelated structure of the camera sensor, always occurring in experimental implementations of DoFPs. In this work, we study the effect of such misalignments in DoFP polarimeters and demonstrate how they lead to polarimetric systems composed of partially depolarized analyzers. We calculate the combined degree of polarization related to different amounts of misalignment and analyze the corresponding system performance. From this study, we show how an imaging polarimeter based on partially polarized analyzers can still lead to a robust and accurate polarimetric performance, and we also provide the misalignment limits in which an acceptable performance is obtained. We evaluate both the monochromatic and the polychromatic cases with special focus on the latter.

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Section: Now We Show Inmentioning

confidence: 99%

Misalignment error analysis in polychromatic division of focal plane Stokes polarimeters

et al. 2019

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“…This could be mitigated by optimizing the sampling of the point-spread function by the imaging array. Also, dedicated Fourier-based reconstructor algorithms 76,77 can be used to reduce aliasing. And indeed also the micropolarizer conguration could be modified to optimize the extraction of the polarization data.…”

Section: Micropatterningmentioning

confidence: 99%

An overview of polarimetric sensing techniques and technology with applications to different research fields

Snik¹,

Craven-Jones²,

Escuti³

et al. 2014

SPIE Proceedings

110

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We report the main conclusions from an interactive, multidisciplinary workshop on "Polarimetric Techniques and Technology", held on March 24-28 2014 at the Lorentz Center in Leiden, the Netherlands. The workshop brought together polarimetrists from different research fields. Participants had backgrounds ranging from academia to industrial R&D. Here we provide an overview of polarimetric instrumentation in the optical regime geared towards a wide range of applications: atmospheric remote sensing, target detection, astronomy, biomedical applications, etc. We identify common approaches and challenges. We list novel polarimetric techniques and polarization technologies that enable promising new solutions. We conclude with recommendations to the polarimetric community at large on joint efforts for exchanging expertise.

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“…About the spatial arrangement, every quadrant is located diagonally to its orthogonal counterpart, but other arrangements exist. 13 This filter array imaging suffers from sparsity, i.e., each pixel senses only one polarization channel. It introduces instantaneous fieldof-view errors 14 when reconstructing 2D polarization scene information from sparse data.…”

Section: Introductionmentioning

confidence: 99%

Calibration algorithms for polarization filter array camera: survey and evaluation

et al. 2020

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A polarization filter array (PFA) camera is an imaging device capable of analyzing the polarization state of light in a snapshot manner. These cameras exhibit spatial variations, i.e., nonuniformity, in their response due to optical imperfections introduced during the nanofabrication process. Calibration is done by computational imaging algorithms to correct the data for radiometric and polarimetric errors. We reviewed existing calibration methods and applied them using a practical optical acquisition setup and a commercially available PFA camera. The goal of the evaluation is first to compare which algorithm performs better with regard to polarization error and then to investigate both the influence of the dynamic range and number of polarization angle stimuli of the training data. To our knowledge, this has not been done in previous work.

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Improved microgrid arrangement for integrated imaging polarimeters

Cited by 50 publications

References 7 publications

Misalignment error analysis in polychromatic division of focal plane Stokes polarimeters

Misalignment error analysis in polychromatic division of focal plane Stokes polarimeters

An overview of polarimetric sensing techniques and technology with applications to different research fields

Calibration algorithms for polarization filter array camera: survey and evaluation

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