Computational Imaging: Functionality and Complexity

Wednesday, February 22, 2012
6:00 PM
Free and open to the public

Computational imaging uses new optics to capture a coded image, andan appropriate algorithm to decode the captured image. This approachof manipulating images before there are recorded and processingrecorded images before they are presented has three key benefits.First, it enables us to implement imaging functionalities that wouldbe difficult, if not impossible, to achieve using traditional imaging.Second, it can be used to significantly reduce the hardware complexityof an imaging system. Lastly, under appropriate imaging conditions, itallows us to break the limits of traditional imaging. In this talk,I'll show recent examples of imaging systems that demonstrate thesebenefits.

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Shree Nayar

T. C. Chang Professor of Computer Science
Columbia University