Format

Send to

Choose Destination
See comment in PubMed Commons below
IEEE Trans Pattern Anal Mach Intell. 2010 Jun;32(6):1012-28. doi: 10.1109/TPAMI.2009.97.

Correction of spatially varying image and video motion blur using a hybrid camera.

Author information

  • 1Korea Advanced Institute of Science and Technology (KAIST), Korea. yuwing@gmail.com

Abstract

We describe a novel approach to reduce spatially varying motion blur in video and images using a hybrid camera system. A hybrid camera is a standard video camera that is coupled with an auxiliary low-resolution camera sharing the same optical path but capturing at a significantly higher frame rate. The auxiliary video is temporally sharper but at a lower resolution, while the lower frame-rate video has higher spatial resolution but is susceptible to motion blur. Our deblurring approach uses the data from these two video streams to reduce spatially varying motion blur in the high-resolution camera with a technique that combines both deconvolution and super-resolution. Our algorithm also incorporates a refinement of the spatially varying blur kernels to further improve results. Our approach can reduce motion blur from the high-resolution video as well as estimate new high-resolution frames at a higher frame rate. Experimental results on a variety of inputs demonstrate notable improvement over current state-of-the-art methods in image/video deblurring.

PMID:
20431128
DOI:
10.1109/TPAMI.2009.97
[PubMed]
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for IEEE Engineering in Medicine and Biology Society
    Loading ...
    Support Center