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14 September 2012 Passive millimeter-wave imaging with compressive sensing
Nachappa Gopalsami, Shaolin Liao, Thomas W. Elmer, Eugene R. Koehl, Alexander Heifetz, Apostolos Paul C. Raptis, Leonidas Spinoulas, Aggelos Katsaggelos
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Optical Engineering, Vol. 51, Issue 9, 091614 (September 2012). https://doi.org/10.1117/1.OE.51.9.091614
Abstract
Passive millimeter-wave (PMMW) imagers using a single radiometer, called single pixel imagers, employ raster scanning to produce images. A serious drawback of such a single pixel imaging system is the long acquisition time needed to produce a high-fidelity image, arising from two factors: (a) the time to scan the whole scene pixel by pixel and (b) the integration time for each pixel to achieve adequate signal to noise ratio. Recently, compressive sensing (CS) has been developed for single-pixel optical cameras to significantly reduce the imaging time and at the same time produce high-fidelity images by exploiting the sparsity of the data in some transform domain. While the efficacy of CS has been established for single-pixel optical systems, its application to PMMW imaging is not straightforward due to its (a) longer wavelength by three to four orders of magnitude that suffers high diffraction losses at finite size spatial waveform modulators and (b) weaker radiation intensity, for example, by eight orders of magnitude less than that of infrared. We present the development and implementation of a CS technique for PMMW imagers and shows a factor-of-ten increase in imaging speed.
© 2012 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2012/$25.00 © 2012 SPIE
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Nachappa Gopalsami, Shaolin Liao, Thomas W. Elmer, Eugene R. Koehl, Alexander Heifetz, Apostolos Paul C. Raptis, Leonidas Spinoulas, and Aggelos Katsaggelos "Passive millimeter-wave imaging with compressive sensing," Optical Engineering 51(9), 091614 (14 September 2012). https://doi.org/10.1117/1.OE.51.9.091614
Published: 14 September 2012
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Cited by 60 scholarly publications and 2 patents.
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KEYWORDS
Imaging systems
Compressed sensing
Extremely high frequency
Passive millimeter wave imaging
Image restoration
Signal to noise ratio
Raster graphics
CHORUS Article. This article was made freely available starting 14 September 2013
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