Pixel Club: Computational Imaging Through Scattering

דובר:
גיא סתת (MIT)
תאריך:
יום שלישי, 21.2.2017, 11:30
מקום:
חדר 1061, בניין מאייר, הפקולטה להנדסת חשמל

Imaging through scattering media has long been a challenge, as scattering corrupts measurements in a non-invertible way. Using near-visible wavelengths to image through scattering media can realize broad applications in bio-medical and industrial imaging. It provides many advantages, such as optical contrast, non-ionizing radiation and availability of fluorescent tags. In this talk I'll discuss recent techniques that were developed to overcome and use scattering in order to recover scene parameters. Our computational imaging approach is based on an ultrafast time-resolved measurement of light transport. The measurement provides high-dimensional data that is used in an algorithmic framework to computationally invert the scattering. I'll demonstrate this approach in two different scenarios: first, a method to recover the location of fluorescent markers hidden behind turbid layer and classify them based on florescence lifetime analysis; second, a method to recover a scene hidden behind a thick tissue phantom. The seminar is self-contained and no prior knowledge is required.

​​Bio:
Guy Satat is a PhD student and research assistant in the Camera Culture Group at the MIT Media Lab, under the supervision of prof. Ramesh Raskar. His interests include imaging through scattering, time-resolved imaging, compressive imaging, and medical imaging. He graduated with honors from the Technion - Israel Institute of Technology, where he obtained a BSc in both Electrical Engineering and Physics as part of the Technion Excellence Program.

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