Abstract

We present a scalable compressive imager using information-optimal measurements design and single-pass piece-wise linear reconstruction algorithm. Superior performance of such design compared to random binary projections is demonstrated via a real-time, high-resolution implementation of said system.

© 2014 Optical Society of America

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