Imaging Science Seminar: Super-Resolution - Computational and Deep Learning-Based Approaches

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imaging science seminar majid rabbani

Super-Resolution: Computational and Deep Learning-Based Approaches

Dr. Majid Rabbani
Visiting Professor
Department of Electrical and Microelectronic Engineering, RIT
with co-host Prasanna Reddy Pulakurthi, PhD Student, EME Department (RIT)

Register Here for Zoom Link

Abstract:
Super-resolution refers to obtaining an image at a resolution higher than that of the camera sensor. Super-resolution can be applied either to a single low-resolution image or to a single frame within a low-resolution captured sequence. The approaches can be either computational-based (using physical modeling of the capture process, subpixel motion estimation and image registration, and regularized spatially-variant deblurring) or example-based using machine learning and deep networks. This presentation provides a brief overview of the history and the evolution of the field while addressing its challenges and future directions.

Speaker Bio:
Majid received his Ph.D. in the electrical engineering department from UW-Madison in 1983 and joined the Research labs at Kodak the same year, where he retired from with the rank of Kodak Fellow in 2016. Since then he has been a visiting professor at the EME department at RIT. His research interests span the diverse areas of image and video compression, processing, and analysis, where he has delivered 40+ keynote presentations, published twos book and holds 44 issued patents. He is twice the co-recipient of the Kodak Mees Award (Kodak's highest research honor), and twice the co-recipient of an Engineering Emmy Award, the second time for his contribution to the JPEG and MPEG standards. He was awarded the “IEEE Region 1 Technical Award” in 2008, the “Electronic Imaging Distinguished Educator Award,” in 2012 and the “Electronic Imaging Scientist of the year Award,” in 2015. He was the Chair of the SPIE Fellows Committee from 2013 to 2016. Majid is a Fellow of IEEE, a Fellow of SPIE and a Kodak Distinguished Inventor.

Intended Audience:
Beginners, undergraduates, graduates. Those with interest in the topic.

To request an interpreter, please visit https://myaccess.rit.edu


Contact
Marci Sanders-Arnett
Event Snapshot
When and Where
April 21, 2021
3:30 pm - 4:30 pm
Room/Location: See Zoom Registration Link
Who

Open to the Public

Interpreter Requested?

No

Topics
faculty
imaging science
research