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Published on: September 8, 2023
Time-of-Flight Imaging in Fog Using Polarization Phasor Imaging
Yixin Zhang1, Xia Wang1, Yuwei Zhao1
1Key Laboratory of Photoelectronic Imaging Technology and System, Ministry of Education, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China.
This study introduces a polarization phasor imaging method to improve time-of-flight (ToF) imaging in fog. The technique enhances image quality and depth measurement for applications like autonomous driving.
Area of Science:
- Optics
- Computer Vision
- Remote Sensing
Background:
- Atmospheric aerosols scatter light, degrading image contrast and distorting depth measurements in time-of-flight (ToF) imaging.
- This limitation restricts the use of ToF imaging in outdoor environments, including autonomous driving systems.
Purpose of the Study:
- To develop a novel method for recovering high-quality amplitude and depth information from ToF images captured in foggy conditions.
- To enhance the applicability of ToF imaging for outdoor sensing technologies.
Main Methods:
- Introduced optical polarimetric defogging into ToF phasor imaging.
- Proposed a degree of polarization phasor to estimate the scattering component.
- Established a polarization phasor imaging model to separate target and scattering components.
Main Results:
- Successfully recovered amplitude and depth information from ToF signals.
- Demonstrated significant improvements in image quality in foggy scenes through experiments with artificial fog.
- Confirmed the method's robustness across varying fog densities.
Conclusions:
- The proposed polarization phasor imaging method effectively recovers image amplitude and depth in foggy conditions.
- This advancement broadens the potential applications of ToF imaging in challenging weather scenarios.
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