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.
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