ML Anthology

Coded Exposure Imaging for Projective Motion Deblurring

Yu-Wing Tai, Naejin Kong, Stephen Lin, Sung Yong Shin
CVPR 2010 pp. 2408-2415
doi:10.1109/CVPR.2010.5539935 /cvpr/2010/tai2010cvpr-coded/

Abstract

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.

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Cite

Text

Tai et al. "Coded Exposure Imaging for Projective Motion Deblurring." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2010. doi:10.1109/CVPR.2010.5539935

Markdown

[Tai et al. "Coded Exposure Imaging for Projective Motion Deblurring." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2010.](https://mlanthology.org/cvpr/2010/tai2010cvpr-coded/) doi:10.1109/CVPR.2010.5539935

BibTeX

@inproceedings{tai2010cvpr-coded,
  title     = {{Coded Exposure Imaging for Projective Motion Deblurring}},
  author    = {Tai, Yu-Wing and Kong, Naejin and Lin, Stephen and Shin, Sung Yong},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2010},
  pages     = {2408-2415},
  doi       = {10.1109/CVPR.2010.5539935},
  url       = {https://mlanthology.org/cvpr/2010/tai2010cvpr-coded/}
}