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Terahertz Imaging with Compressed Sensing and Phase Retrieval Wai Lam Chan Matthew Moravec Daniel Mittleman Richard Baraniuk Department of Electrical and Computer Engineering Rice University, Houston, Texas, USA
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THz Time-domain Imaging Object THz Transmitter THz Receiver
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THz Time-domain Imaging Object THz Transmitter THz Receiver Suitcase (weapons) Automobile dashboard (foam layer) Chocolate bar (food) (Mittleman, et al., Appl. Phys. B, vol. 68, 1085-1094 (1999)) (Karpowicz, et al., Appl. Phys. Lett. vol. 86, 054105 (2005))
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THz Time-domain Imaging Object THz Transmitter THz Receiver Pixel-by-pixel scanning Limitations: acquisition time vs. resolution Faster imaging method
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Reconstruct via nonlinear processing (optimization) Take fewer ( ) measurements High-speed THz Imaging with Compressed Sensing (CS) Measurements (random projections) (Donoho, IEEE Trans. on Information Theory, 52(4), pp. 1289 - 1306, April 2006) “sparse” signal / object (K-sparse) Measurement Matrix (e.g., random Fourier) M << N
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Compressed Sensing (CS) Example: Single-Pixel Camera DMD Random pattern on DMD array (Baraniuk, Kelly, et al. Proc. of Computational Imaging IV at SPIE Electronic Imaging, Jan 2006 ) image reconstruction DSP DMD
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THz Fourier Imaging Setup 12cm6cm12cm object mask THz transmitter (fiber-coupled PC antenna) THz receiver 6cm metal aperture automated translation stage
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N Fourier samples THz Fourier Imaging Setup 12cm6cm12cm object mask THz transmitter 6cm Fourier plane pick only random measurements for Compressed Sensing
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THz Fourier Imaging Setup automated translation stage polyethlene lens object mask “R” (3.5cm x 3.5cm) THz receiver
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Fourier Imaging Results Fourier Transform of object (Magnitude) Inverse Fourier Transform Reconstruction (zoomed-in) 6.4 cm7.2 cm 6.4 cm 7.2 cm Resolution: 1.125 mm
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Imaging Results with Compressed Sensing (CS) Inverse Fourier Transform Reconstruction (4096 measurements) CS Reconstruction (2000 measurements) 7.2 cm
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Imaging Using the Fourier Magnitude 12cm object mask THz transmitter THz receiver 6cm metal aperture translation stage variable object position
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Reconstruction with Phase Retrieval (PR) Reconstruct signal from only the magnitude of its Fourier transform Iterative algorithm based on prior knowledge of signal: –real-valued –positivity –finite support Hybrid Input-Output (HIO) algorithm (Fienup, Appl. Optics., 21(15), pp. 2758 - 2769, August 1982)
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Imaging Results with Phase Retrieval (PR) 8 cm 6.4 cm Resolution: 3.2mm Fourier Transform of object (Magnitude-only) PR Reconstruction (6400 measurements)
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Compressed Sensing Phase Retrieval (CSPR) Results Modified PR algorithm with CS Fourier Transform of object (Magnitude-only) PR Reconstruction (6400 measurements) CSPR Reconstruction (1000 measurements) 8 cm 6.4 cm
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Summary of CSPR Imaging System Novel THz imaging method with compressed sensing (CS) and phase retrieval (PR) Improved acquisition speed Processing time Resolution in reconstructed image
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Acknowledgements National Science Foundation National Aeronautics and Space Administration Defense Advanced Research Projects Agency
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2-D Wavelet Transform (Sparsity)
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Imaging Results with Phase Retrieval (PR) 6.4 cm 4.8 cm Resolution: 1.5mm Fourier Transform of object (Magnitude-only) PR Reconstruction (4096 measurements)
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