on 28-11-2024
The Portuguese IEEE Signal Processing Chapter invites to IEEE Signal Processing Society (SPS) Distinguished Lecture by Farhan Baqai (Apple, USA), with the title "Digital Camera Signal Processing - History, Recent Advances, Challenges, and Opportunities.”
The lecture will take place in ISCTE – University Institute of Lisbon, Auditorium A302 (Building 4), on November 28th, at 14h30, and is open to all interested participants.
Farhan Baqai has an extensive track record and impressive contributions to the area of digital photography, both in Industry and Academia.
Abstract:
In a relatively short period, the digital camera has become ubiquitous in our daily lives. The pace at which innovations are being made in this area is remarkable. The exciting aspect is that there is much more to come. In this talk, we review the evolution of digital cameras from camera obscura to film to digital to mobile. Along the way, we identify events that precipitated the change to a digital photography ecosystem. We briefly discuss practices and assumptions that are prevalent in the scientific community and look at a few signal-processing solutions that we have developed over the years for problems in digital photography. Using these examples we demonstrate the multidisciplinary nature of digital camera image processing. We present recent results to show the progress that has been achieved in computational photography on mobile cameras and conclude with challenges and opportunities.
Bio
Farhan Baqai earned a M.S. and a Ph.D. degree in Electrical and Computer Engineering from Purdue University. Before that, he received a Master of Engineering Science degree from the University of Melbourne, Australia and a B.S. degree in Electrical Engineering from the University of Engineering and Technology, Lahore, Pakistan. After his PhD, he worked on halftoning algorithms for inkJet printers at Xerox Corporation and on digital camera image processing at the Sony US Research Center. Currently, he is a Senior Research Manager at Apple Inc. where he leads a research group focused on the development of state-of-the-art algorithms for digital photography.
Registration: