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Information Optimal Static Measurement Design for Compressive Imaging

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Abstract

We present an information-theoretic framework for measurement basis design problem in compressive imaging. Simulation results show that the reconstruction error obtained with the information-optimal projections is more than an order of magnitude lower than what is achievable with random projections.

© 2012 Optical Society of America

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