Noise analysis in Stokes parameter reconstruction for division-of-focal-plane polarimeters

Bai, Chuanbiao; Jiang, Zhaoxiang; Zhao, Jiangcheng; Wu, Shangquan; Zhang, Qingchuan

doi:10.1364/ao.462059

Cited by 4 publications

(2 citation statements)

References 27 publications

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“…35 The denoising algorithms were, in turn, expanded upon to include non-gaussian noise sources., 36 and an overall analysis of the impact of noise on reconstruction/demosaicing algorithms was performed. 37 Making use of the correlation between superpixels, others have used guided filtering to remove aliasing effects. 38 The newest forms of interpolation make use of residual interpolation with a range of flavors: edge-aware, intensity-guided, Modified Newton, or iterative.…”

Section: Introductionmentioning

confidence: 99%

Sub-percent characterization and polarimetric performance analysis of commercial micro-polarizer array detectors

Stockmans,

Scheinowitz,

van der Linden

et al. 2024

Polarization: Measurement, Analysis, and Remote Sensing XVI

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Polarization imaging can yield crucial information in multiple applications of remote sensing, such as characterization of clouds, aerosols, and the Aurora Borealis. Some applications require sub-percent polarimetric sensitivity and accuracy in determining the Stokes parameters, which can be a challenge to attain. In 2018, Sony released a low-cost CMOS-based imaging chip with integrated micro-polarizer array for general polarization measurements. We implement the calibration steps required for these Sony chips to reach sub-percent polarimetric accuracies. To analyze their performances, we have compared the characteristics of four different detector packages by three manufacturers housing either the monochromatic version or the RGB color variant. We present a comprehensive overview of the effects that these characteristics have on the polarimetric performance of the camera. They include dark noise, behavior over different gain settings, detector/pixel artifacts, and polarimetric effects determined by polarizer extinction ratios, polarizer orientations, and accuracy of polarimetric zero points due to differential pixel gains. In addition to calibrations using unpolarized light and fully linearly polarized light, we assess the polarimetric sensitivity within a tilting and rotating glass-plate set-up. We discuss the benefits of adding a rotating half-wave plate as an additional temporal modulator to generically mitigate some of the detector effects, and achieve better polarimetric sensitivity/accuracy albeit at the expense of lower temporal resolution. We conclude by presenting and discussing the polarimetric limits to which we were able to calibrate the detector effects for practical purposes. By reaching a compound absolute polarimetric uncertainty of less than a percent, these very compact, low-cost detectors are enabled for a multitude of scientific goals.

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Section: Introductionmentioning

confidence: 99%

Sub-percent characterization and polarimetric performance analysis of commercial micro-polarizer array detectors

Stockmans,

Scheinowitz,

van der Linden

et al. 2024

Polarization: Measurement, Analysis, and Remote Sensing XVI

View full text Add to dashboard Cite

show abstract

“…In contrast to the Stokes mask-based polarization camera, the DoFP system incorporates a micro-lens array with the sensor. Leveraging advanced image reconstruction methods, the DoFP system achieves high imaging quality 18 . It has been applied in three dimensional HSI color space imaging and skylight polarization measurement 19,20 .…”

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confidence: 99%

Smart polarization and spectroscopic holography for real-time microplastics identification

Zhu,

Li,

Huang

et al. 2024

Commun Eng

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Optical microscopy technologies as prominent imaging methods can offer rapid, non-destructive, non-invasive detection, quantification, and characterization of tiny particles. However, optical systems generally incorporate spectroscopy and chromatography for precise material determination, which are usually time-consuming and labor-intensive. Here, we design a polarization and spectroscopic holography to automatically analyze the molecular structure and composition, namely smart polarization and spectroscopic holography (SPLASH). This smart approach improves the evaluation performance by integrating multi-dimensional features, thereby enabling highly accurate and efficient identification. It simultaneously captures the polarization states-related, holographic, and texture features as spectroscopy, without the physical implementation of a spectroscopic system. By leveraging a Stokes polarization mask (SPM), SPLASH achieves simultaneous imaging of four polarization states. Its effectiveness has been demonstrated in the application of microplastics (MP) identification. With machine learning methods, such as ensemble subspace discriminant classifier, k-nearest neighbors classifier, and support vector machine, SPLASH depicts MPs with anisotropy, interference fringes, refractive index, and morphological characteristics and performs explicit discrimination with over 0.8 in value of area under the curve and less than 0.05 variance. This technique is a promising tool for addressing the increasing public concerning issues in MP pollution assessment, MP source identification, and long-term water pollution monitoring.

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Contrast enhanced color polarization image fusion

Meng

Ren

et al. 2023

Optik

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Noise analysis in Stokes parameter reconstruction for division-of-focal-plane polarimeters

Cited by 4 publications

References 27 publications

Sub-percent characterization and polarimetric performance analysis of commercial micro-polarizer array detectors

Sub-percent characterization and polarimetric performance analysis of commercial micro-polarizer array detectors

Smart polarization and spectroscopic holography for real-time microplastics identification

Contrast enhanced color polarization image fusion

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