Abstract

Compressive sensing has been used to increase the resolution of sensor arrays, allowing high-resolution images to be obtained from low-resolution or even single pixel sensors. This paper introduces a rotating coded aperture for compressive imaging that has advantages over other sensing strategies. The design of the code geometry is motivated by constraints imposed by the imager’s rotation. The block–unblock code pattern is optimized by minimizing the mutual coherence of the sensing matrix. Simulation results are presented, using the final code design to successfully recover high-resolution images from a very small sensor array.

© 2016 Optical Society of America

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