Image distortion correction is a critical pre-processing step for a variety of computer vision and image processing algorithms. Standard real-time software implementations are generally not suited for direct hardware porting, so appropriated versions need to be designed in order to obtain implementations deployable on FPGAs. In this paper, hardware-compatible techniques for image distortion correction are introduced and analyzed in details. The considered solutions are compared in terms of output quality by using a geometrical-error-based approach, with particular emphasis on robustness with respect to increasing lens distortion. The required amount of hardware resources is also estimated for each considered approach.
@article{arxiv.1610.09712,
title = {Real-Time Image Distortion Correction: Analysis and Evaluation of FPGA-Compatible Algorithms},
author = {Paolo Di Febbo and Stefano Mattoccia and Carlo Dal Mutto},
journal= {arXiv preprint arXiv:1610.09712},
year = {2016}
}
Comments
To be published in Proceedings of the International Conference on Reconfigurable Computing and FPGAs, Cancun, Mexico, 30 November, 2 December 2016