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Error model for linear DoFP imaging systems perturbed by spatially varying polarization states.
Applied Optics
|October 18, 2022
Summary
Division of focal plane (DoFP) polarization sensors can suffer errors from rapid scene changes. Our study shows intensity variations are the primary cause, and correcting these improves polarization estimation accuracy.
Area of Science:
- Optics and Photonics
- Image Processing
- Sensor Technology
Background:
- Division of focal plane (DoFP) sensors enable single-shot linear polarimetric imaging.
- Estimation errors can occur due to spatial variations in scenes, particularly with fast-changing elements.
Purpose of the Study:
- To investigate the impact of spatial variations in intensity, degree of linear polarization, and angle of polarization on DoFP sensor errors.
- To identify the primary source of estimation errors in DoFP polarimetric imaging.
Main Methods:
- Theoretical derivations of polarimetric parameter variations.
- Imaging experiments to validate theoretical findings.
- Analysis of error contributions from different spatial variations.
Main Results:
- Spatial variations in intensity significantly contribute to estimation errors in DoFP sensors.
- Intensity variations are a greater source of error than polarization state variations.
- Compensating for intensity variations within a superpixel enhances estimation performance.
Conclusions:
- Intensity variations are the dominant factor causing estimation errors in DoFP polarization sensors.
- Targeted compensation of intensity variations can significantly improve polarimetric imaging accuracy.
- This approach matches the performance of advanced demosaicing methods.
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