Field Distortion Model Based on Fredholm Integral

TL;DR

This paper introduces a novel field distortion model based on Fredholm integration that accurately characterizes and corrects imaging system distortions, enhancing precision in photogrammetry and related fields.

Contribution

The paper presents a general field distortion model using Fredholm integral and high-resolution PSF reconstruction, enabling precise distortion measurement and correction.

Findings

Model effectively measures actual field distortion with high accuracy

Simulation verifies the model's effectiveness and reconstruction algorithm

Potential applications include high-precision calibration and astrometry

Abstract

Field distortion is widespread in imaging systems. If it cannot be measured and corrected well, it will affect the accuracy of photogrammetry. To this end, we proposed a general field distortion model based on Fredholm integration, which uses a reconstructed high-resolution reference point spread function (PSF) and two sets of 4-variable polynomials to describe an imaging system. The model includes the point-to-point positional distortion from the object space to the image space and the deformation of the PSF so that we can measure an actual field distortion with arbitrary accuracy. We also derived the formula required for correcting the sampling effect of the image sensor. Through numerical simulation, we verify the effectiveness of the model and reconstruction algorithm. This model will have potential application in high-precision image calibration, photogrammetry and astrometry.