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Compressive tomography
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DOI：10.1364/AOP.7.000756.png)
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Abstract
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Compressive tomography consists of estimation of high-dimensional objects from lower dimensional measurements. We review compressive tomography using radiation fields, including geometric, wave, and statistical field models. We find coded apertures most appropriate for compressive coding with geometric models, spatial and frequency sub-sampling most appropriate for wave models, and temporal modulation most appropriate for statistical models. In each case, we show that compressive measurement enables snapshot 3D imaging, eliminating or reducing the need to sacrifice temporal resolution in multidimensional imaging. (C) 2015 Optical Society of America
Keywords:
BEAM COMPUTED-TOMOGRAPHY
IMAGE-RECONSTRUCTION
METAMATERIAL APERTURES
OBJECT RECONSTRUCTION
INVERSE SCATTERING
RANDOM PROJECTIONS
SPREAD FUNCTION
EXTENDED DEPTH
LIGHT-FIELD
CODED DATA
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