Image distortion correction based on shuffled frog leaping algorithm

Image distortion correction is a prerequisite for distributed aperture system (DAS). Brown model and its aberration (fitness) metric describing radial and tangential distortions of image are introduced. As one of intelligent optimization algorithms, shuffled frog leaping algorithm (SFLA) and its initial population Latin hypercube sampling (LHS), are discussed. Image aberration model (from ray tracing method) and Brown distortion model are simulated and corrected respectively. Results show that characteristic point's positions between origional and corrected are within 2 pixels, which verifies effectiveness of algorithm. Finally, this correction method is applied to correction of target paper by wide-angle CCD camera, and satisfactory results are obtained. The algorithms and simulation results have certain theoretical and experimental significance to development of DAS equipment.