学术报告(贾佳亚)

题目：Advances in Image Deblurring

报告人：贾佳亚教授,香港中文大学计算机科学与工程系

时间：2009年12月28号上午10：00-11：00

地点：蒙民伟楼311室

Title: Advances in Image Deblurring
 
Abstract: One of the most common artifacts in digital photography is motion
blur caused by camera shake. In many situations there simply is not enough
light to avoid using a long shutter speed, and the inevitable result is that
many of our snapshots come out blurry and disappointing. Recovering an
un-blurred image from a single, motion-blurred photograph has long been a
fundamental research problem in digital imaging. In this talk, I will
introduce two recent techniques to solve this challenging problem. One
method computes a deblurred image using a unified
probabilistic model of both blur kernel estimation and unblurred image
restoration. The other one estimates these unknowns with the color blending
information.
 
 
BIOGRAPHY:
 
Prof. Jiaya Jia is now an assistant professor in the Chinese University of
Hong Kong.  He was a visiting scholar in Microsoft Research Asia and Adobe
research lab in 2004 and 2007. His research interest includes image analysis
and enhancement, motion estimation, and 3D reconstruction. He served on the
program committees of the International Conference on Computer Vision
(ICCV), Computer Vision and Pattern Recognition (CVPR), European Conf.
Computer Vision (ECCV) and chaired the Workshop on Interactive Computer
Vision 2007. He received the Young Researcher Award 2008.