Through-Wall Image Enhancement Based on Singular Value Decomposition | Zendy

Muhammad Mohsin Riaz | Zendy; Abdul Ghafoor | Zendy

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Through-Wall Image Enhancement Based on Singular Value Decomposition

Author(s) -

Muhammad Mohsin Riaz,

Abdul Ghafoor

Publication year - 2012

Publication title -

international journal of antennas and propagation

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.282

H-Index - 37

eISSN - 1687-5877

pISSN - 1687-5869

DOI - 10.1155/2012/961829

Subject(s) - singular value decomposition , clutter , noise (video) , noise reduction , singular value , mathematics , algorithm , image (mathematics) , pattern recognition (psychology) , artificial intelligence , singular spectrum analysis , basis (linear algebra) , computer science , eigenvalues and eigenvectors , physics , geometry , telecommunications , radar , quantum mechanics

Singular value decomposition and information theoretic criterion-based image enhancement is proposedfor through-wall imaging. The scheme is capable of discriminating target, clutter, and noisesubspaces. Information theoretic criterion is used with conventional singular value decomposition tofind number of target singular values. Furthermore, wavelet transform-based denoising is performed (tofurther suppress noise signals) by estimating noise variance. Proposed scheme works also for extractingmultiple targets in heavy cluttered through-wall images. Simulation results are compared on the basis ofmean square error, peak signal to noise ratio, and visual inspection

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