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Proceedings Paper

Hardware acceleration of lucky-region fusion (LRF) algorithm for image acquisition and processing
Author(s): William Maignan; David Koeplinger; Gary W. Carhart; Mathieu Aubailly; Fouad Kiamilev; J. Jiang Liu
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Paper Abstract

“Lucky-region fusion” (LRF) is an image processing technique that has proven successful in enhancing the quality of images distorted by atmospheric turbulence. The LRF algorithm extracts sharp regions of an image obtained from a series of short exposure frames, and “fuses” them into a final image with improved quality. In previous research, the LRF algorithm had been implemented on a PC using a compiled programming language. However, the PC usually does not have sufficient processing power to handle real-time extraction, processing and reduction required when the LRF algorithm is applied not to single picture images but rather to real-time video from fast, high-resolution image sensors. This paper describes a hardware implementation of the LRF algorithm on a Virtex 6 field programmable gate array (FPGA) to achieve real-time video processing. The novelty in our approach is the creation of a “black box” LRF video processing system with a standard camera link input, a user controller interface, and a standard camera link output.

Paper Details

Date Published: 31 May 2013
PDF: 7 pages
Proc. SPIE 8720, Photonic Applications for Aerospace, Commercial, and Harsh Environments IV, 87200B (31 May 2013); doi: 10.1117/12.2016341
Show Author Affiliations
William Maignan, Univ. of Delaware (United States)
David Koeplinger, Univ. of Delaware (United States)
Gary W. Carhart, U.S. Army Research Lab. (United States)
Mathieu Aubailly, Univ. of Maryland, College Park (United States)
Fouad Kiamilev, Univ. of Delaware (United States)
J. Jiang Liu, U.S. Army Research Lab. (United States)


Published in SPIE Proceedings Vol. 8720:
Photonic Applications for Aerospace, Commercial, and Harsh Environments IV
Alex A. Kazemi; Bernard C. Kress; Simon Thibault, Editor(s)

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