Optics, sensors and AI: synergic computational imaging

Ashok Veeraraghavan

doi:10.1117/12.3011773

13 March 2024 Optics, sensors and AI: synergic computational imaging

Ashok Veeraraghavan

Proceedings Volume PC12857, Computational Optical Imaging and Artificial Intelligence in Biomedical Sciences; PC1285706 (2024) https://doi.org/10.1117/12.3011773
Event: SPIE BiOS, 2024, San Francisco, California, United States

Abstract

In this talk, I will discuss about several projects in my lab at the confluence of optics, sensors and artificial intelligence. In particular, I will provide examples of how co-designing sensors, optics and AI algorithms results in superior performance capabilities for imaging systems. I will provide three example projects: (1) how on-chip computation can allow us to realize high-resolution flash LIDARs, (2) how novel diffractive and meta-optical elements allow us to realize imaging systems with novel functionalities and form-factors and finally (3) how emerging neural representations along with high resolution spatial light modulators can allow us to image through thick scattering media without the need for guidestars. I will use these projects to argue that we should look at the three computational blocks within an imaging system, optics, sensors and algorithms together and that co-designing them can result in significant performance improvements over the state of art.

Conference Presentation

Citation Download Citation

Ashok Veeraraghavan "Optics, sensors and AI: synergic computational imaging", Proc. SPIE PC12857, Computational Optical Imaging and Artificial Intelligence in Biomedical Sciences, PC1285706 (13 March 2024); https://doi.org/10.1117/12.3011773

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KEYWORDS

Artificial intelligence

Sensors

Imaging systems

Evolutionary algorithms

Image resolution

Image sensors

LIDAR

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