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Increasing feasibility of the field-programmable gate array implementation of an iterative image registration using a kernel-warping algorithm
Author(s): An Hung Nguyen; Thomas Guillemette; Andrew J. Lambert; Mark R. Pickering; Matthew A. Garratt
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Paper Abstract

Image registration is a fundamental image processing technique. It is used to spatially align two or more images that have been captured at different times, from different sensors, or from different viewpoints. There have been many algorithms proposed for this task. The most common of these being the well-known Lucas–Kanade (LK) and Horn–Schunck approaches. However, the main limitation of these approaches is the computational complexity required to implement the large number of iterations necessary for successful alignment of the images. Previously, a multi-pass image interpolation algorithm (MP-I2A) was developed to considerably reduce the number of iterations required for successful registration compared with the LK algorithm. This paper develops a kernel-warping algorithm (KWA), a modified version of the MP-I2A, which requires fewer iterations to successfully register two images and less memory space for the field-programmable gate array (FPGA) implementation than the MP-I2A. These reductions increase feasibility of the implementation of the proposed algorithm on FPGAs with very limited memory space and other hardware resources. A two-FPGA system rather than single FPGA system is successfully developed to implement the KWA in order to compensate insufficiency of hardware resources supported by one FPGA, and increase parallel processing ability and scalability of the system.

Paper Details

Date Published: 15 September 2017
PDF: 15 pages
J. Electron. Imag. 26(5) 053010 doi: 10.1117/1.JEI.26.5.053010
Published in: Journal of Electronic Imaging Volume 26, Issue 5
Show Author Affiliations
An Hung Nguyen, Le Quy Don Technical Univ. (Vietnam)
Thomas Guillemette, The Univ. of New South Wales (Australia)
Andrew J. Lambert, The Univ. of New South Wales (Australia)
Mark R. Pickering, The Univ. of New South Wales (Australia)
Matthew A. Garratt, University of New South Wales, School of Engineering and Information Technology, Canberra (Australia)

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