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

Electronic engineering

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