MCS

The Uncertainty Principle and Image Reconstruction

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max

Eric S. Weber, Iowa State University (and Gustavus alumnus)
3:30-4:20pm on Tuesday, October 30
Olin Hall, Room 320

The Uncertainty Principle is a well-known phenomenon from physics, placing a lower bound on the error present in simultaneous measurements of position and momentum of a particle. However, it actually is a mathematical phenomenon, and we will be using it to our advantage–in particular restoring missing pixels from a digital image. The talk will only require linear algebra.

Refreshments will be served.

Comments

One response to “The Uncertainty Principle and Image Reconstruction”

  1. mweier Avatar
    mweier

    Anyone interested in image reconstruction should also check out some of the interesting work by Professor Ariel Shamir. In particular, his content-aware scalable images are very cool (there’s even a video showing the technology in action as it seeks to make images that can scale non-proportionally through the use of context and content analysis to determine expendable pixels.

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