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Contrast optimization in broadband passive polarimetric imaging based on color camera
Optics Express
|February 9, 2019
Summary
This study introduces color difference into broadband polarimetric imaging. Using a color camera, researchers enhanced target/background discrimination beyond monochrome intensity contrast, especially for multi-object scenes.
Area of Science:
- Optics and Photonics
- Image Processing
- Scientific Imaging
Background:
- Broadband polarimetric imaging optimizes polarization state analyzers (PSA) for target/background contrast.
- Previous methods used monochrome sensors, focusing solely on intensity, neglecting spectral variations.
- Polarization state analyzers (PSA) also alter light color due to spectral response.
Purpose of the Study:
- To incorporate color information into broadband polarimetric imaging for improved discrimination.
- To investigate the contribution of color difference in optimizing PSA settings.
- To enhance target/background discriminability using a color camera.
Main Methods:
- Employed a color camera in a broadband Stokes (passive) polarimetric imaging system.
- Optimized the polarization state analyzer (PSA) settings considering color differences.
- Experimental validation of the proposed method.
Main Results:
- Demonstrated significant improvement in discrimination ability compared to monochrome imaging.
- Showcased enhanced performance particularly in scenes with multiple objects.
- Quantified the contribution of color difference to improved image discrimination.
Conclusions:
- Color information significantly enhances discrimination in broadband polarimetric imaging.
- Using color cameras and optimizing PSA for color difference offers superior performance over monochrome systems.
- The findings are especially valuable for complex scenes with multiple targets.
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