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.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.