Image deblurring plays an important role in many computer vision applications. We have developed a number of computational photography solutions for reducing motions caused by moving objects as well as defocus blurs due to wide apertures. |
Related Papers |
A Theory of Co-prime Blurred Pairs Feng Li, Zijia Li, David Saunders, and Jingyi Yu. In Proceedings of the 2011 International Conference on Computer Vision (ICCV 2011) (video,code) |
||
Blurred Target Tracking by Blur-driven Tracker Yi Wu, Haibin Ling, Jingyi Yu, Feng Li, Xue Mei, and Erkang Cheng. In Proceedings of the 2011 International Conference on Computer Vision (ICCV 2011) |
||
Analysis of Motion Blur With a Flutter Shutter Camera for
Non-linear Motion Yuanyuan Ding, Scott McCloskey, and Jingyi Yu. In Proceedings of the 2010 European Conference on Computer Vision (ECCV 2010),Oral presentation |
||
Real-time Projector Depixelation for Videos Kevin Kreiser and Jingyi Yu In Proceedings of Computer Graphics International (CGI 2008) |
||
A
Hybrid Camera for Motion Deblurring and Depth Super-resolution Feng Li, Jingyi Yu, and Jinxiang Chai In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2008) |