Compressive Spectral and Coherence Imaging

This work describes two computational sensors that were used to demonstrate applications of generalized sampling of the optical field. The first sensor was an incoherent imaging system designed for compressive measurement of the power spectral density in the scene (spectral imaging). The other sensor was an interferometer used to compressively measure the mutual intensity of the optical field (coherence imaging) for imaging through turbulence. Each sensor made anisomorphic measurements of the optical signal of interest and digital post-processing of these measurements was required to recover the signal. The optical hardware and post-processing software were co-designed to permit acquisition of the signal of interest with sub-Nyquist rate sampling, given the prior information that the signal was sparse or compressible in some basis.

Autorentext

Dr. Ashwin A. Wagadarikar is a Research Scientist with the Functional Imaging Lab at GE Global Research. He received his MS and PhD in Electrical Engineering from Duke University in May 2007 and 2010 respectively. He graduated with a B.A.Sc. degree in Engineering Science (Biomedical Option) from the University of Toronto in May 2005.