Computational imaging: Using computing for optics and optics for computing

Speaker:  David G. Stork – Sunnyvale, CA, United States
Topic(s):  Computational Theory, Algorithms and Mathematics

Abstract

The discipline of computational imaging involves the design of both the optics and the digital signal processing to achieve a desired digital output.  The electro-optical system is hence best viewed as an information channel rather than a traditional optical imaging system.  Because the intermediate optical image need not "look good," there is great freedom in the design of the optics, which can be made smaller and cheaper than in "equivalent" systems designed in traditional ways.  The burden of digital image creation is thus shifted toward the digital domain, where the cost of computation continues to drop according to Moore's Law.  Thus computation can do the work of optics.  Conversely, optics can perform certain classes of computation.  Such optical processing is highly parallel, effectively instantaneous and dissipates no electrical power.  As such, new classes of computational imagers can be made very low power.

About this Lecture

Number of Slides:  50
Duration:  50 minutes
Languages Available:  English
Last Updated: 

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