Deep optics: learning cameras and optical computing systems

Gordon Wetzstein

doi:10.1117/12.2646050

15 March 2023 Deep optics: learning cameras and optical computing systems

Gordon Wetzstein

Proceedings Volume 12438, AI and Optical Data Sciences IV; 124380A (2023) https://doi.org/10.1117/12.2646050
Event: SPIE OPTO, 2023, San Francisco, California, United States

Abstract

Neural networks and other advanced image processing algorithms excel in a wide variety of computer vision and imaging applications, but their high performance also comes at a high computational cost and their success is sometimes limited. Here, we explore hybrid optical-digital strategies to computational imaging that outsource parts of the algorithm into the optical domain. Using such a co-design of optics and image processing, we can learn application-domain-specific cameras using modern artificial intelligence techniques or compute parts of a convolutional neural network in optics. Optical computing happens at the speed of light and without any memory or power requirements, thereby opening new directions for intelligent imaging systems.

Conference Presentation

Citation Download Citation

Gordon Wetzstein "Deep optics: learning cameras and optical computing systems", Proc. SPIE 12438, AI and Optical Data Sciences IV, 124380A (15 March 2023); https://doi.org/10.1117/12.2646050

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