Share Email Print
cover

Proceedings Paper

Efficient reduction of complex noise in passive millimeter-wavelength video utilizing Bayesian surprise
Author(s): T. Nathan Mundhenk; Josh Baron; Roy M. Matic
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Passive millimeter wavelength (PMMW) video holds great promise given its ability to see targets and obstacles through fog, smoke and rain. However, current imagers produce undesirable complex noise. This can come as a mixture of fast shot (snow like) noise and a slower forming circular fixed pattern. Shot noise can be removed by a simple gain style filter. However, this can produce blurring of objects in the scene. To alleviate this, we measure the amount of Bayesian surprise in videos. Bayesian surprise is feature change in time which is abrupt, but cannot be accounted for as shot noise. Surprise is used to attenuate the shot noise filter in locations of high surprise. Since high Bayesian surprise in videos is very salient to observers, this reduces blurring particularly in places where people visually attend. Fixed pattern noise is removed after the shot noise using a combination of Non-uniformity correction (NUC) and Eigen Image Wavelet Transformation. The combination allows for online removal of time varying fixed pattern noise even when background motion may be absent. It also allows for online adaptation to differing intensities of fixed pattern noise. The fixed pattern and shot noise filters are all efficient allowing for real time video processing of PMMW video. We show several examples of PMMW video with complex noise that is much cleaner as a result of the noise removal. Processed video clearly shows cars, houses, trees and utility poles at 20 frames per second.

Paper Details

Date Published: 1 June 2011
PDF: 13 pages
Proc. SPIE 8042, Display Technologies and Applications for Defense, Security, and Avionics V; and Enhanced and Synthetic Vision 2011, 804210 (1 June 2011); doi: 10.1117/12.887672
Show Author Affiliations
T. Nathan Mundhenk, HRL Labs., LLC (United States)
Josh Baron, HRL Labs., LLC (United States)
Roy M. Matic, HRL Labs., LLC (United States)


Published in SPIE Proceedings Vol. 8042:
Display Technologies and Applications for Defense, Security, and Avionics V; and Enhanced and Synthetic Vision 2011
Jeff J. Güell; John Tudor Thomas; Daniel D. Desjardins; Kenneth L. Bernier, Editor(s)

© SPIE. Terms of Use
Back to Top