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Coded exposure imaging for projective motion deblurring

2010

Conference Paper

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We propose a method for deblurring of spatially variant object motion. A principal challenge of this problem is how to estimate the point spread function (PSF) of the spatially variant blur. Based on the projective motion blur model of, we present a blur estimation technique that jointly utilizes a coded exposure camera and simple user interactions to recover the PSF. With this spatially variant PSF, objects that exhibit projective motion can be effectively de-blurred. We validate this method with several challenging image examples.

Author(s): Tai, Yu-Wing and Kong, Naejin and Lin, Stephen and Shin, Sung Yong
Book Title: Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Pages: 2408--2415
Year: 2010
Month: June

Department(s): Perceiving Systems
Bibtex Type: Conference Paper (inproceedings)
Paper Type: Conference

Links: Publisher site

BibTex

@inproceedings{kong10cvpr,
  title = {Coded exposure imaging for projective motion deblurring},
  author = {Tai, Yu-Wing and Kong, Naejin and Lin, Stephen and Shin, Sung Yong},
  booktitle = {Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  pages = {2408--2415},
  month = jun,
  year = {2010},
  month_numeric = {6}
}