Image distortion correction is a critical preprocessing 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.

Real-Time image distortion correction: Analysis and evaluation of FPGA-compatible algorithms

DI FEBBO, PAOLO;MATTOCCIA, STEFANO;
2016

Abstract

Image distortion correction is a critical preprocessing 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.
2016
2016 International Conference on Reconfigurable Computing and FPGAs, ReConFig 2016
1
6
Di Febbo, Paolo; Mattoccia, Stefano; Dal Mutto, Carlo
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/589268
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