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arXiv · 1712.04541

Analysis and Optimization of Aperture Design in Computational Imaging

Adam Yedidia·Christos Thrampoulidis·Gregory Wornell
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Abstract

There is growing interest in the use of coded aperture imaging systems for a variety of applications. Using an analysis framework based on mutual information, we examine the fundamental limits of such systems---and the associated optimum aperture coding---under simple but meaningful propagation and sensor models. Among other results, we show that when thermal noise dominates, spectrally-flat masks, which have 50% transmissivity, are optimal, but that when shot noise dominates, randomly generated masks with lower transmissivity offer greater performance. We also provide comparisons to classical pinhole cameras.

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Adam Yedidia, Christos Thrampoulidis, Gregory Wornell. 2017-12-12. Analysis and Optimization of Aperture Design in Computational Imaging. https://arxiv.org/abs/1712.04541

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