Through-Wall Image Enhancement Based on Singular Value Decomposition
Joint Authors
Ghafoor, Abdul
Mohsin Riaz, Muhammad
Source
International Journal of Antennas and Propagation
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-20, 20 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-07-30
Country of Publication
Egypt
No. of Pages
20
Main Subjects
Abstract EN
Singular value decomposition and information theoretic criterion-based image enhancement is proposed for through-wall imaging.
The scheme is capable of discriminating target, clutter, and noise subspaces.
Information theoretic criterion is used with conventional singular value decomposition to find number of target singular values.
Furthermore, wavelet transform-based denoising is performed (to further suppress noise signals) by estimating noise variance.
Proposed scheme works also for extracting multiple targets in heavy cluttered through-wall images.
Simulation results are compared on the basis of mean square error, peak signal to noise ratio, and visual inspection.
American Psychological Association (APA)
Mohsin Riaz, Muhammad& Ghafoor, Abdul. 2012. Through-Wall Image Enhancement Based on Singular Value Decomposition. International Journal of Antennas and Propagation،Vol. 2012, no. 2012, pp.1-20.
https://search.emarefa.net/detail/BIM-511724
Modern Language Association (MLA)
Mohsin Riaz, Muhammad& Ghafoor, Abdul. Through-Wall Image Enhancement Based on Singular Value Decomposition. International Journal of Antennas and Propagation No. 2012 (2012), pp.1-20.
https://search.emarefa.net/detail/BIM-511724
American Medical Association (AMA)
Mohsin Riaz, Muhammad& Ghafoor, Abdul. Through-Wall Image Enhancement Based on Singular Value Decomposition. International Journal of Antennas and Propagation. 2012. Vol. 2012, no. 2012, pp.1-20.
https://search.emarefa.net/detail/BIM-511724
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-511724