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High-resolution compressive 3D imaging through phase ranging with a single-pixel photodetector
Optics Letters
|January 31, 2025
Summary
This study introduces a novel single-pixel imaging system for 3D Lidar, achieving high-resolution depth maps with compressed sensing. The phase ranging system enables fast, accurate 3D imaging with minimal data acquisition.
Area of Science:
- Optics and Photonics
- Computer Vision
- Signal Processing
Background:
- Single-pixel imaging offers advantages for Light Detection and Ranging (Lidar) systems.
- Compressed Sensing (CS) enables high-resolution imaging with reduced data acquisition.
- Accurate depth mapping is crucial for advanced Lidar applications.
Purpose of the Study:
- To demonstrate a phase ranging system combined with CS for high-precision 3D imaging.
- To achieve fast depth measurement with minimal sampling.
- To validate the system's performance in terms of resolution and accuracy.
Main Methods:
- Utilized amplitude-modulated continuous-wave laser illumination.
- Employed a single-pixel detector and a structured detection architecture.
- Implemented CS algorithms for 3D image reconstruction with a 5% sampling rate.
Main Results:
- Achieved high-precision 3D image reconstruction at 128x128 resolution.
- Demonstrated fast depth measurement capabilities.
- Identified a minimum target width of 0.2 cm, corresponding to a resolving angle of 0.33 mrad.
Conclusions:
- The integrated phase ranging and CS system provides accurate and fast 3D imaging.
- This approach significantly reduces data requirements for Lidar systems.
- The system shows potential for real-world applications in continuous-wave Lidar.
