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Imaging quality characterization and optimization of segmented planar imaging system based on honeycomb dense azimuth
Optics Express
|November 29, 2023
Summary
A novel honeycomb lens array enhances segmented planar photoelectric imaging by improving azimuthal sampling density. This advanced computational imaging technology significantly boosts spatial frequency coverage and image quality.
Area of Science:
- Computational imaging
- Optical engineering
- Photonics
Background:
- Segmented planar photoelectric imaging uses photonic integrated circuits (PICs) for miniaturization.
- Existing radial-spoke lens arrays suffer from sparse azimuthal sampling, leading to information loss and blurred images.
Purpose of the Study:
- To propose a honeycomb dense azimuth sampling lens array to improve spatial frequency sampling and imaging quality.
- To design and evaluate baseline pairing methods for enhanced imaging performance.
Main Methods:
- Established a signal transmission model for the segmented planar imaging system.
- Simulated and analyzed the imaging process with the proposed honeycomb lens array.
- Compared imaging quality against hexagonal and radial-spoke lens arrays.
Main Results:
- The honeycomb lens array significantly improved azimuthal sampling density and spatial frequency coverage.
- Imaging quality, including contour, contrast, and detail, was superior to existing lens arrays.
- A mixed baseline pairing method optimized sampling for improved image reconstruction.
Conclusions:
- The honeycomb lens array offers a viable solution for enhancing segmented planar imaging systems.
- Optimized baseline pairing and fill factor control are crucial for maximizing imaging performance.
- Results provide theoretical support for future segmented planar imaging system development.
