Compressive sensing enables highly accurate signal reconstruction from fewer measurements than the number of samples in a signal to be estimated. This paper describes a theoretical framework for 3-D tomographic reconstruction from 2-D holographic measurements.
© 2009 OSA
K. Choi, R. Horisaki, D. L. Marks, and D. J. Brady, "Coding and Signal Inference in Compressive Holography," in Frontiers in Optics 2009/Laser Science XXV/Fall 2009 OSA Optics & Photonics Technical Digest, OSA Technical Digest (CD) (Optical Society of America, 2009), paper CThA5.
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