Through-Wall Image Enhancement Based on Singular Value Decomposition
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...
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Format: | Article |
Language: | English |
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Wiley
2012-01-01
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Series: | International Journal of Antennas and Propagation |
Online Access: | http://dx.doi.org/10.1155/2012/961829 |
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author | Muhammad Mohsin Riaz Abdul Ghafoor |
author_facet | Muhammad Mohsin Riaz Abdul Ghafoor |
author_sort | Muhammad Mohsin Riaz |
collection | DOAJ |
description | 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. |
format | Article |
id | doaj-art-8bedb9efc481496d945cc91f91b1d3e1 |
institution | Kabale University |
issn | 1687-5869 1687-5877 |
language | English |
publishDate | 2012-01-01 |
publisher | Wiley |
record_format | Article |
series | International Journal of Antennas and Propagation |
spelling | doaj-art-8bedb9efc481496d945cc91f91b1d3e12025-02-03T01:12:30ZengWileyInternational Journal of Antennas and Propagation1687-58691687-58772012-01-01201210.1155/2012/961829961829Through-Wall Image Enhancement Based on Singular Value DecompositionMuhammad Mohsin Riaz0Abdul Ghafoor1Department of Electrical Engineering, Military College of Signals, National University of Sciences and Technology (NUST), Islamabad 46000, PakistanDepartment of Electrical Engineering, Military College of Signals, National University of Sciences and Technology (NUST), Islamabad 46000, PakistanSingular 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.http://dx.doi.org/10.1155/2012/961829 |
spellingShingle | Muhammad Mohsin Riaz Abdul Ghafoor Through-Wall Image Enhancement Based on Singular Value Decomposition International Journal of Antennas and Propagation |
title | Through-Wall Image Enhancement Based on Singular Value Decomposition |
title_full | Through-Wall Image Enhancement Based on Singular Value Decomposition |
title_fullStr | Through-Wall Image Enhancement Based on Singular Value Decomposition |
title_full_unstemmed | Through-Wall Image Enhancement Based on Singular Value Decomposition |
title_short | Through-Wall Image Enhancement Based on Singular Value Decomposition |
title_sort | through wall image enhancement based on singular value decomposition |
url | http://dx.doi.org/10.1155/2012/961829 |
work_keys_str_mv | AT muhammadmohsinriaz throughwallimageenhancementbasedonsingularvaluedecomposition AT abdulghafoor throughwallimageenhancementbasedonsingularvaluedecomposition |