Share Email Print
cover

Proceedings Paper

Real-time embedded atmospheric compensation for long-range imaging using the average bispectrum speckle method
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

While imaging over long distances is critical to a number of security and defense applications, such as homeland security and launch tracking, current optical systems are limited in resolving power. This is largely a result of the turbulent atmosphere in the path between the region under observation and the imaging system, which can severely degrade captured imagery. There are a variety of post-processing techniques capable of recovering this obscured image information; however, the computational complexity of such approaches has prohibited real-time deployment and hampers the usability of these technologies in many scenarios. To overcome this limitation, we have designed and manufactured an embedded image processing system based on commodity hardware which can compensate for these atmospheric disturbances in real-time. Our system consists of a reformulation of the average bispectrum speckle method coupled with a high-end FPGA processing board, and employs modular I/O capable of interfacing with most common digital and analog video transport methods (composite, component, VGA, DVI, SDI, HD-SDI, etc.). By leveraging the custom, reconfigurable nature of the FPGA, we have achieved performance twenty times faster than a modern desktop PC, in a form-factor that is compact, low-power, and field-deployable.

Paper Details

Date Published: 5 February 2009
PDF: 12 pages
Proc. SPIE 7244, Real-Time Image and Video Processing 2009, 724404 (5 February 2009); doi: 10.1117/12.805986
Show Author Affiliations
Petersen F. Curt, EM Photonics (United States)
Michael R. Bodnar, EM Photonics (United States)
Fernando E. Ortiz, EM Photonics (United States)
Carmen J. Carrano, Lawrence Livermore National Lab. (United States)
Eric J. Kelmelis, EM Photonics (United States)


Published in SPIE Proceedings Vol. 7244:
Real-Time Image and Video Processing 2009
Nasser Kehtarnavaz; Matthias F. Carlsohn, Editor(s)

© SPIE. Terms of Use
Back to Top