Spatially modulated snapshot imaging polarimeter using two Savart polariscopes

Jian Bo; Jian Bo; Wenhe Xing; Wenhe Xing; Yunting Gu; Yunting Gu; Changxiang Yan; Changxiang Yan; Xiaodong Wang; Xueping Ju

doi:10.1364/AO.403868

Applied Optics
Vol. 59,
Issue 28,
pp. 9023-9031
(2020)
•https://doi.org/10.1364/AO.403868

Spatially modulated snapshot imaging polarimeter using two Savart polariscopes

Jian Bo, Wenhe Xing, Yunting Gu, Changxiang Yan, Xiaodong Wang, and Xueping Ju

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Jian Bo, Wenhe Xing, Yunting Gu, Changxiang Yan, Xiaodong Wang, and Xueping Ju, "Spatially modulated snapshot imaging polarimeter using two Savart polariscopes," Appl. Opt. 59, 9023-9031 (2020)

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Abstract

We present a spatially modulated snapshot imaging polarimeter using two Savart polariscopes (SMSIPTS). Not only can it avoid alignment angle errors and additional phase errors of a half-wave plate (HWP), it can also avoid changing the HWP frequently when we want the target polarization state at different wavelengths and can increase some channel bandwidth to improve image quality, compared with a spatially modulated snapshot imaging polarimeter (SMSIP). The alignment angle error and additional phase errors of SMSIP and the optical layout and principle of SMSIPTS are derived first. The full Stokes polarization images can be obtained by processing the interferogram. Based on SMSIPTS, we determine the filtering method by simulation. We proved the feasibility of SMSIPTS, and the effect of SMSIPTS and SMSIP on reconstruction is compared by simulation. Last, we experimentally verified the feasibility of the theory of SMSIPTS.

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Gaussian	$S_{0}$	$S_{1}$	$S_{2}$	$S_{3}$
PSNR	36.237	33.482	31.373	38.570
SSIM	0.997	0.993	0.967	0.989
Rect	$S_{0}$	$S_{1}$	$S_{2}$	$S_{3}$
PSNR	36.296	33.058	29.384	35.128
SSIM	0.997	0.992	0.950	0.976
Cicr	$S_{0}$	$S_{1}$	$S_{2}$	$S_{3}$
PSNR	36.435	33.482	29.990	36.826
SSIM	0.997	0.993	0.956	0.983
$FWHM = 1.2$	$S_{0}$	$S_{1}$	$S_{2}$	$S_{3}$
PSNR	35.407	32.686	32.678	40
SSIM	0.997	0.992	0.975	0.991
$FWHM = 1.4$	$S_{0}$	$S_{1}$	$S_{2}$	$S_{3}$
PSNR	34.6127	31.937	33.373	40.826
SSIM	0.996	0.990	0.979	0.993
$FWHM = 1.6$	$S_{0}$	$S_{1}$	$S_{2}$	$S_{3}$
PSNR	33.899	31.234	33.796	40.860
SSIM	0.995	0.988	0.981	0.993
$FWHM = 2.0$	$S_{0}$	$S_{1}$	$S_{2}$	$S_{3}$
PSNR	32.808	30.145	34.232	40.376
SSIM	0.994	0.985	0.981	0.992

SMSIP(1-degree)	$S_{0}$	$S_{1}$	$S_{2}$	$S_{3}$
PSNR	16.695	18.460	22.780	25.482
SSIM	0.996	0.990	0.985	0.991
SMSIP(3-deg)	$S_{0}$	$S_{1}$	$S_{2}$	$S_{3}$
PSNR	14.959	16.777	21.131	23.776
SSIM	0.995	0.990	0.984	0.990
SMSIP(5-deg)	$S_{0}$	$S_{1}$	$S_{2}$	$S_{3}$
PSNR	14.573	16.400	20.761	23.395
SSIM	0.994	0.990	0.983	0.990
SMSIPTS	$S_{0}$	$S_{1}$	$S_{2}$	$S_{3}$
PSNR	36.435	33.482	34.232	40.860
SSIM	0.997	0.993	0.991	0.993

Gaussian	$S_{0}$	$S_{1}$	$S_{2}$	$S_{3}$
PSNR	36.237	33.482	31.373	38.570
SSIM	0.997	0.993	0.967	0.989
Rect	$S_{0}$	$S_{1}$	$S_{2}$	$S_{3}$
PSNR	36.296	33.058	29.384	35.128
SSIM	0.997	0.992	0.950	0.976
Cicr	$S_{0}$	$S_{1}$	$S_{2}$	$S_{3}$
PSNR	36.435	33.482	29.990	36.826
SSIM	0.997	0.993	0.956	0.983
$FWHM = 1.2$	$S_{0}$	$S_{1}$	$S_{2}$	$S_{3}$
PSNR	35.407	32.686	32.678	40
SSIM	0.997	0.992	0.975	0.991
$FWHM = 1.4$	$S_{0}$	$S_{1}$	$S_{2}$	$S_{3}$
PSNR	34.6127	31.937	33.373	40.826
SSIM	0.996	0.990	0.979	0.993
$FWHM = 1.6$	$S_{0}$	$S_{1}$	$S_{2}$	$S_{3}$
PSNR	33.899	31.234	33.796	40.860
SSIM	0.995	0.988	0.981	0.993
$FWHM = 2.0$	$S_{0}$	$S_{1}$	$S_{2}$	$S_{3}$
PSNR	32.808	30.145	34.232	40.376
SSIM	0.994	0.985	0.981	0.992

SMSIP(1-degree)	$S_{0}$	$S_{1}$	$S_{2}$	$S_{3}$
PSNR	16.695	18.460	22.780	25.482
SSIM	0.996	0.990	0.985	0.991
SMSIP(3-deg)	$S_{0}$	$S_{1}$	$S_{2}$	$S_{3}$
PSNR	14.959	16.777	21.131	23.776
SSIM	0.995	0.990	0.984	0.990
SMSIP(5-deg)	$S_{0}$	$S_{1}$	$S_{2}$	$S_{3}$
PSNR	14.573	16.400	20.761	23.395
SSIM	0.994	0.990	0.983	0.990
SMSIPTS	$S_{0}$	$S_{1}$	$S_{2}$	$S_{3}$
PSNR	36.435	33.482	34.232	40.860
SSIM	0.997	0.993	0.991	0.993

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Equations (13)

Applied Optics