Digital imaging systems have become a ubiquitous part of our daily lives
– digital cameras, photo sharing web-sites,and photo-printers are just a
few examples of devices that we now take for granted. These systems
embody a complex interplay of materials, digital hardware, algorithms,
and human vision. In this talk, I will describe research using training and model-based approaches that has led to low-cost, implementable, yet
highly effective imaging algorithms that can be found in millions of printers that have been sold over the past decade.
Jan P. Allebach is Hewlett-Packard Professor of Electrical and Computer
Engineering. His current research interests include image rendering, image
quality, color imaging and color measurement, printer and sensor forensics, and digital publishing. He is a Fellow of the IEEE, the Society for Imaging Science and Technology (IS&T), and SPIE. He was named 2004 Electronic Imaging Scientist of the Year by IS&T and SPIE, was named Honorary Member in 2007 by IS&T (its highest award), and received the 2008 Purdue Sigma Xi Faculty Research Award.
A reception will follow the presentation.