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Proceedings Paper

Millimeter-wave video sequence denoising and enhancement in concealed weapons detection application
Author(s): Xiaohui Wei; Hua-Mei Chen; Ishfaq Amad
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Paper Abstract

In this paper, we present an adaptive algorithm to improve the quality of millimeter-wave video sequence by separating each video frame into foreground region and background region, and handle them differently. We separate the foreground from background area by using an adaptive Kalman filter. The background is then denoised by both spatial and temporal algorithms. The foreground is denoised by the block-based motion compensated averaging, and enhanced by wavelet-based multi-scale edge representation. Finally further adaptive contrast enhancement is applied to the reconstructed foreground. The experimental results show that our algorithm is able to produce a sequence with smoother background, more reduced noise, more enhanced foreground and higher contrast of the region of interest.

Paper Details

Date Published: 24 August 2006
PDF: 8 pages
Proc. SPIE 6312, Applications of Digital Image Processing XXIX, 631208 (24 August 2006); doi: 10.1117/12.678616
Show Author Affiliations
Xiaohui Wei, The Univ. of Texas at Arlington (United States)
Hua-Mei Chen, The Univ. of Texas at Arlington (United States)
Ishfaq Amad, The Univ. of Texas at Arlington (United States)

Published in SPIE Proceedings Vol. 6312:
Applications of Digital Image Processing XXIX
Andrew G. Tescher, Editor(s)

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