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An Automatic Calibration Method for the Field of View Aberration in a Risley-Prism-Based Image Sensor
Zhonglin Lin1, Wenchao Liu1, Jinyu Gan1
1School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350108, China.
An automated calibration method enhances Risley-prism image sensors. This technique improves aberration correction speed, accuracy, and stability for wider fields of view.
Area of Science:
- Optics and Photonics
- Image Sensor Technology
- Computational Imaging
Background:
- Risley-prism-based image sensors offer expanded fields of view via beam control.
- Increased prism angles enhance field of view magnification but worsen imaging aberrations.
- Advanced aberration correction is crucial for these sensors.
Purpose of the Study:
- To develop an automated calibration method for Risley-prism image sensors.
- Enhance the speed, accuracy, and stability of aberration correction.
- Address the challenges posed by increased aberrations in wide-field imaging.
Main Methods:
- Utilized a two-axis turntable to acquire image datasets of a calibration plate at varying prism angles and object distances.
- Applied bicubic interpolation for pre-processing calibration plate images.
- Calculated and optimized calibration parameters for aberration correction.
Main Results:
- Verified the feasibility of the automated calibration method through experimental results.
- Achieved a reprojection error within 0.26 pixels at a distance of 3.6 m.
- Demonstrated effective aberration correction with the proposed method.
Conclusions:
- The automated calibration method is effective for Risley-prism image sensors.
- The system achieves high accuracy and stability in aberration correction.
- This approach enables reliable wide-field imaging with minimized aberrations.
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