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Proceedings Paper

Hardware acceleration of lucky-region fusion (LRF) algorithm for high-performance real-time video processing
Author(s): Tyler Browning; Christopher Jackson; Furkan Cayci; Gary W. Carhart; J. Jiang Liu; Fouad Kiamilev
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Paper Abstract

"Lucky-region" fusion (LRF) is a synthetic imaging 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 from fast, high-resolution image sensors, and fuses the sharp regions into a final, improved image. In our previous research, the LRF algorithm had been implemented on CPU and field programmable gate array (FPGA) platforms. The CPU did not have sufficient processing power to handle real-time processing of video. Last year, we presented a real-time LRF implementation using an FPGA. However, due to the slow register-transfer level (RTL) development and simulation time, it was difficult to adjust and discover optimal LRF settings such as Gaussian kernel radius and synthetic frame buffer size. To overcome this limitation, we implemented the LRF algorithm on an off-the-shelf graphical processing unit (GPU) in order to take advantage of built-in parallelization and significantly faster development time. Our initial results show that the unoptimized GPU implementation has almost comparable turbulence mitigation to the FPGA version. In our presentation, we will explore optimization of the LRF algorithm on the GPU to achieve higher performance results, and adding new performance capabilities such as image stabilization.

Paper Details

Date Published: 4 June 2015
PDF: 9 pages
Proc. SPIE 9451, Infrared Technology and Applications XLI, 94512G (4 June 2015); doi: 10.1117/12.2085864
Show Author Affiliations
Tyler Browning, Univ. of Delaware (United States)
Christopher Jackson, Univ. of Delaware (United States)
Furkan Cayci, Univ. of Delaware (United States)
Gary W. Carhart, U.S. Army Research Lab. (United States)
J. Jiang Liu, U.S. Army Research Lab. (United States)
Fouad Kiamilev, Univ. of Delaware (United States)


Published in SPIE Proceedings Vol. 9451:
Infrared Technology and Applications XLI
Bjørn F. Andresen; Gabor F. Fulop; Charles M. Hanson; Paul R. Norton, Editor(s)

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