Abstract
We apply statistical information and Bayesian estimation theories to calculate certain fundamental bounds on the reconstruction of segment boundaries, material type, and surface texture of sparse objects from their coded-aperture compressive spectral-polarimetric image data.
© 2012 Optical Society of America
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