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

Abstract

Concentric optical cameras are widely used in the field of space target detection; the fiber-optic panel is positioned between the concentric objective lens and the sensor, but the presence of defects in the fiber-optic panel will exacerbate the non-uniformity of the image. In this paper, we obtain flat-field and dark-field images and establish the fiber-optic panel mask by designing the calibration experiments. The pixel-scale multipoint correction method is used to correct the non-uniformity of the image after bilinear interpolation corrects the values of the mask points. With the ability to reduce image non-uniformity from 6.3494% to 3.5179% for low irradiance regions and from 1.8826% to 0.3009% for high irradiance regions, this method can improve image quality and analytical reliability under a variety of lighting conditions. The method provides a reference for the image quality optimization of optical imaging systems based on fiber-optic imaging devices, which improves the imaging accuracy and data reliability of concentric optical cameras.