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Compressive Sensing Approach for Reducing the Number of Exposures in Multiple View Projection Holography

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Abstract

Compressive imaging enables the reconstruction of images from far fewer number of measurements predicted by classical sampling theorem. Here we demonstrate how this approach can dramatically reduce the number of exposures in multi-view projection holography.

© 2010 Optical Society of America

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