Imaging Arithmetic: Physics U Math > Physics + Math
Event details
| Date | 12.06.2013 |
| Hour | 11:15 › 12:15 |
| Speaker | Prof. Gaurav Sharma, University of Rochester |
| Location | |
| Category | Conferences - Seminars |
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.
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.
Links
Practical information
- General public
- Free
Organizer
- SuRI 2013
Contact
- Simone Muller