Pixel-scale multipoint concentric optical camera non-uniformity correction based on the fiber-optic panel mask.

Area of Science:

• Optics and Photonics
• Image Processing
• Space Science Instrumentation

Background:

• Fiber-optic panels in concentric optical cameras can introduce image non-uniformity due to defects.
• This non-uniformity degrades image quality and affects space target detection accuracy.

Purpose of the Study:

• To develop and validate a method for correcting image non-uniformity caused by fiber-optic panel defects.
• To improve the imaging accuracy and data reliability of concentric optical cameras.

Main Methods:

• Calibration experiments were designed to obtain flat-field and dark-field images.
• A fiber-optic panel mask was established using pixel-scale multipoint correction.
• Bilinear interpolation was employed to correct mask point values for non-uniformity correction.

Main Results:

• Image non-uniformity was reduced from 6.3494% to 3.5179% in low irradiance regions.
• Image non-uniformity was reduced from 1.8826% to 0.3009% in high irradiance regions.
• The method demonstrated significant improvement in image quality across various lighting conditions.

Conclusions:

• The developed correction method effectively reduces image non-uniformity in fiber-optic imaging systems.
• This technique enhances the imaging accuracy and data reliability of concentric optical cameras for space target detection.
• The study provides a valuable reference for optimizing image quality in optical imaging systems utilizing fiber-optic components.