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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Main Authors: Muhammad Mohsin Riaz, Abdul Ghafoor
Format: Article
Language:English
Published: Wiley 2012-01-01
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
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institution Kabale University
issn 1687-5869
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language English
publishDate 2012-01-01
publisher Wiley
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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