[visionlist] SCIEN Talk on Tuesday, May 15: Prof. Gaurav Sharma will talk about "Imaging Arithmetic: Physics U Math > Physics + Math"

joyce joyce_farrell at stanford.edu
Sat May 12 05:52:37 GMT 2012


 

 The Stanford Center for Image Systems Engineering (SCIEN)

Developing imaging systems for the enhancement of human communication

 

Professor Gaurav Sharma, Electrical and Computer Engineering Department,
University of Rochester

 

May 15, 2012 4:15 pm to 5:15 pm

 

Location: Packard 204

 

Talk Title: Imaging Arithmetic: Physics U Math > Physics + Math

 

Talk Abstract: For several real-world problems, signal and image processing
approaches are most successful when they combine the insight offered by the
physics underlying the problem with the mathematical framework and tools
inherent in digital signal and image processing. Electronic imaging systems
are a particularly fertile ground for problems in this class because they
deal specifically with the capture of physical scenes and with the
reproduction of images on physical devices. In this presentation, we
highlight specific examples of problems in electronic imaging for which the
combination of physical insight, mathematical tools, and engineering
ingenuity leads to particularly elegant and effective solutions.

 

We illustrate the above ideas in some depth using a number of case studies
drawn from our research in electronic imaging, in each case highlighting how
the combination of physical modeling/insight with mathematical analysis
enables a solutions that each of these tools alone is unable to address
adequately. The examples cover a wide range of applications, including
methods for show-through cancelation in scanning, print watermarks
detectable by viewers without using any viewing aids, multiplexed images
that revealed under varying illumination, improved metrics for the accuracy
of color capture devices, and color halftone separation estimation from
scans. 

 

Biography: Gaurav Sharma is an associate professor at the Electrical and
Computer Engineering Department at the University of Rochester, where, from
2008-2010, he also served as the Director for the Center for Emerging and
Innovative Science (CEIS), a New York state funded center located at the
University of Rochester chartered with promoting economic development
through university-industry technology transfer. He received the PhD degree
in Electrical and Computer engineering from North Carolina State University,
Raleigh in 1996. From 1993 through 2003, he was with the Xerox Innovation
group in Webster, NY, most recently in the position of Principal Scientist
and Project Leader. His research interests include color science and
imaging, multimedia/print security, and bioinformatics. He is the
Editor-in-Chief for the Journal of Electronic Imaging and the editor of the
Digital Color Imaging Handbook published by CRC press in 2003. He has also
served as an associate editor for the Journal of Electronic Imaging, the
IEEE Transactions on Image Processing, and for the IEEE Transactions on
Information Forensics and Security. Dr. Sharma is a senior member of the
IEEE, a member of IS&T and has been elected to Sigma Xi, Phi Kappa Phi, and
Pi Mu Epsilon. He is a member of the Image, Video, and Multi-dimensional
Signal Processing (IVMSP) and the Information Forensics and Security (IFS)
technical committees of the IEEE Signal Processing Society and served as the
Chair for the former committee in 2010-11. In recognition of his research
contributions, he received an IEEE Region I technical innovation award in
2008.

 

 

For future talks see  <http://scien.stanford.edu/>
http://scien.stanford.edu/

 

 

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