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Real-Time Image Distortion Correction: Analysis and Evaluation of FPGA-Compatible Algorithms

2016/10/30 by Paolo Di Febbo, Stefano Mattoccia, Di Febbo, Paolo +3
Computer Science · Engineering · #Advancements in Photolithography Techniques #Image Processing Techniques and Applications #Optical measurement and interference techniques #cs.CV

paper · pdf · doi:10.48550/arxiv.1610.09712

To be published in Proceedings of the International Conference on Reconfigurable Computing and FPGAs, Cancun, Mexico, 30 November, 2 December 2016

arxiv created 2016/10/30 · arxiv updated 2016/11/01

Abstract

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.

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