2017 - 20th Annual Steven Galovich Memorial Student Symposium
Presentation Title
Image Processing and Restoration under Atmospheric Turbulence
Location
Meyer Auditorium
Abstract
When an image is taken while subjected to a temperature gradient, the image undergoes geometric distortion due to turbulence. One can develop and run an algorithm against a turbulent image sequence in order to remove distortion. Over an 8-week program this summer, my research team for the San Diego State University REU Program worked on developing algorithms to address such problems. I will present our exploration of various approaches and techniques of image processing, such as lucky region and super-resolution.
Presentation Type
Individual Presentation
Start Date
4-11-2017 10:30 AM
End Date
4-11-2017 11:45 AM
Panel
Scientific Studies
Panel Moderator
Nilam Shah
Field of Study for Presentation
Computer Science, Mathematics
Image Processing and Restoration under Atmospheric Turbulence
Meyer Auditorium
When an image is taken while subjected to a temperature gradient, the image undergoes geometric distortion due to turbulence. One can develop and run an algorithm against a turbulent image sequence in order to remove distortion. Over an 8-week program this summer, my research team for the San Diego State University REU Program worked on developing algorithms to address such problems. I will present our exploration of various approaches and techniques of image processing, such as lucky region and super-resolution.