ML Anthology

Space-Variant Image Deblurring on Smartphones Using Inertial Sensors

Ondrej Sindelar, Filip Sroubek, Peyman Milanfar
CVPRW 2014 pp. 191-192
doi:10.1109/CVPRW.2014.34 /cvprw/2014/sindelar2014cvprw-spacevariant/

Abstract

Low-light hand-held photography requires long exposures and leads to space-variant blur degradation. Removing blur without any information about the camera motion is a computationally demanding and unstable process. In this demo system, we use rotational inertial sensors (gyroscopes) to detect the motion trajectory of the camera during exposure and then use it as a base for removing blur from the acquired photographs. The demo is a close-to-real-time deblurring technology, implemented on an Android smartphone.

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Cite

Text

Sindelar et al. "Space-Variant Image Deblurring on Smartphones Using Inertial Sensors." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2014. doi:10.1109/CVPRW.2014.34

Markdown

[Sindelar et al. "Space-Variant Image Deblurring on Smartphones Using Inertial Sensors." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2014.](https://mlanthology.org/cvprw/2014/sindelar2014cvprw-spacevariant/) doi:10.1109/CVPRW.2014.34

BibTeX

@inproceedings{sindelar2014cvprw-spacevariant,
  title     = {{Space-Variant Image Deblurring on Smartphones Using Inertial Sensors}},
  author    = {Sindelar, Ondrej and Sroubek, Filip and Milanfar, Peyman},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2014},
  pages     = {191-192},
  doi       = {10.1109/CVPRW.2014.34},
  url       = {https://mlanthology.org/cvprw/2014/sindelar2014cvprw-spacevariant/}
}