Impact of CCD camera SNR on polarimetric accuracy

Chen, Zhenyue; Wang, Xia; Pacheco, Shaun; Liang, Rongguang

doi:10.1364/ao.53.007649

Cited by 18 publications

(7 citation statements)

References 19 publications

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“…4(c), 4(d), and 4(f) are due to the orientations of the four pixel polarizers in the polarizer array, i.e., 0, 45, 90, and 135 deg. We have demonstrated this phenomenon in our previous study [15]. The increases in standard deviation in Figs.…”

Section: Experimental Setup and Resultssupporting

confidence: 67%

Calibration method of microgrid polarimeters with image interpolation

2015

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Microgrid polarimeters have large advantages over conventional polarimeters because of the snapshot nature and because they have no moving parts. However, they also suffer from several error sources, such as fixed pattern noise (FPN), photon response nonuniformity (PRNU), pixel cross talk, and instantaneous field-of-view (IFOV) error. A characterization method is proposed to improve the measurement accuracy in visible waveband. We first calibrate the camera with uniform illumination so that the response of the sensor is uniform over the entire field of view without IFOV error. Then a spline interpolation method is implemented to minimize IFOV error. Experimental results show the proposed method can effectively minimize the FPN and PRNU.

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Section: Experimental Setup and Resultssupporting

confidence: 67%

Calibration method of microgrid polarimeters with image interpolation

2015

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where the symbols I, Q, and U refer to the Stokes vector elements and the

represent the light intensity of light waves passing through the 0°, 60°, and 120° grating areas, respectively.…”

Section: Sensor Construction and Fabrication Methodsmentioning

confidence: 99%

“…All the polarization information of the target can be obtained without reducing the spatial resolution or introducing additional polarization errors. The degree of linear polarization (DoLP) and angle of polarization (AoP) need to be calculated [27]. The MPA of the traditional snapshot DPC adopts a structure like the Bayer color filter [15,17,18]; that is, a superpixel is composed of polarizers with polarization directions of 0 • , 45 • , 90 • , and 135 • .…”

Section: Sensor Constructionmentioning

confidence: 99%

Method of Directly Writing MPA on Photosensitive Surface of Detector Based on FIB

Nie,

Qiu,

Sun

et al. 2024

Sensors

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The division of focal plane (DoFP) polarization detector has great potential for the development of aerospace polarimeters, but the existing commercial DoFP polarization detector cannot satisfy all the missions due to the diversity of satellite payloads. Here, we propose a method of directly writing a micro-polarizer array (MPA) on the detector surface based on focused ion beams (FIB) and fabricating a push-broom scanning DoFP polarization detector. The feasibility and low crosstalk of the solution were proved through testing, and the reasons for the low extinction ratio caused by oxidation were explained through characterization and numerical calculations. This scheme is not only applicable to DoFP polarization detectors but also provides ideas for the integration of other metasurface structures and detectors.

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“…There are two primary IS architectures: CCD and CMOS. CCD sensors have a larger physical size due to the use of a relatively larger analog-to-digital converter (ADC) compared to CMOS IS [31,32]. Consequently, CCD sensors are not commonly used in mobile phones, especially smartphones.…”

Section: Receivermentioning

confidence: 99%

Mobile Application for Visible Light Communication Systems: An Approach for Indoor Positioning

Nguyen,

Nguyen

2024

Photonics

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We explore the use of smartphones to decode data transmitted from LEDs to smartphone cameras in visible light communication (VLC) applied to indoor positioning applications. The LEDs—modified to enable rapid on-off keying—transmit identification codes or optically encoded location data imperceptible to human perception. Equipped with a camera, the smartphone employs a single framed image to detect the presence of the luminaires in the image, decode their transmitted identifiers or locations, and determine the smartphone’s position and orientation relative to the luminaires. The camera captures and processes images continuously. The following fundamental issues are addressed in this research: (i) analyzing the camera parameters on smartphones that affect data decoding results; (ii) exploiting the rolling shutter effect of the CMOS image sensor to receive multiple bits of data encoded in the optical communication line with a single frame shot; (iii) advancing research in developing algorithms to process data from multiple LEDs simultaneously. We conduct experiments to evaluate and analyze feasibility, as well as the challenges of the design, through scenarios varying in distance, transmission frequency, and data length.

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Impact of CCD camera SNR on polarimetric accuracy

Cited by 18 publications

References 19 publications

Calibration method of microgrid polarimeters with image interpolation

Calibration method of microgrid polarimeters with image interpolation

Method of Directly Writing MPA on Photosensitive Surface of Detector Based on FIB

Mobile Application for Visible Light Communication Systems: An Approach for Indoor Positioning

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