COSI 2021 : Computational Optical Sensing and Imaging

Recent leading edge advances in the field of image acquisition, processing, and display has led to major improvements in the image products on the market today. Reported at this Congress are the state-of-the-art advances that will continue to contribute to this progress. Examples of advances to be discussed include: results to mitigate the effects on light propagation in complex media such as in biological tissue, and in scattering and turbulent atmospheres; compressive and computational image processing which in many cases employ machine learning techniques; the collection, processing, display, and perception issues with 3-D information; and new approaches such as neuromorphic and metamorphic image processing. Also to be reported are advances in image acquisition for use in autonomous platforms including UAV remote sensing and self-driving vehicles. Finally, presentations on sampling theory and inverse techniques applied to image-difficult problems will cover the details describing the limits in image acquisition and information extraction and will provide suggestions for improvements that can be applied to enhance current image acquisition capabilities.

Hear about the physics-enhanced deep neural networks used in computational imaging and how this type of technique can assist in processing with limited data sets.
Learn about the design challenges facing the next generation of sensors including meta-photonic computational imagers and fast foveated projectors and cameras.
Follow efforts to mitigate extreme turbulence effects using target-in-the-loop coherent beam combining and how focusing through scattering materials can be enhanced using newly developed deep neural networks.
Understand the advantages of the latest developments in conformal diffuse tomography of single photon 3-D imaging in scattering media.
Learn about the latest progress in vision augmentation via see-through displays.