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SUMMARY:Imaging Arithmetic: Physics U Math > Physics + Math
DTSTART:20130612T111500
DTEND:20130612T121500
DTSTAMP:20260406T185308Z
UID:b3d56ad1b3fe6f058d562a97279076ab01409c8862858624824b93fc
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Gaurav Sharma\, University of Rochester\nFor several rea
 l-world problems\, signal and image processing approaches are most success
 ful when they combine the insight offered by the physics underlying the pr
 oblem with the mathematical framework and tools inherent in digital signal
  and image processing. Electronic imaging systems are a particularly ferti
 le ground for problems in this class because they deal specifically with t
 he capture of physical scenes and with the reproduction of images on physi
 cal devices. In this presentation\, we highlight specific examples of prob
 lems in electronic imaging for which the combination of physical insight\,
  mathematical tools\, and engineering ingenuity leads to particularly eleg
 ant and effective solutions.\nWe illustrate the above ideas in some depth 
 using a number of case studies drawn from our research in electronic imagi
 ng\, in each case highlighting how the combination of physical modeling/in
 sight with mathematical analysis enables a solutions that each of these to
 ols alone is unable to address adequately. The examples cover a wide range
  of applications\, including methods for show-through cancelation in scann
 ing\, print watermarks detectable by viewers without using any viewing aid
 s\, multiplexed images that revealed under varying illumination\, improved
  metrics for the accuracy of color capture devices\, and color halftone se
 paration estimation from scans.
LOCATION:BC 420 https://plan.epfl.ch/?room==BC%20420
STATUS:CONFIRMED
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