ML Anthology

Fast Removal of Non-Uniform Camera Shake

Michael Hirsch, Christian J. Schuler, Stefan Harmeling, Bernhard Schölkopf
ICCV 2011 pp. 463-470
doi:10.1109/ICCV.2011.6126276 /iccv/2011/hirsch2011iccv-fast/

Abstract

Camera shake leads to non-uniform image blurs. State-of-the-art methods for removing camera shake model the blur as a linear combination of homographically transformed versions of the true image. While this is conceptually interesting, the resulting algorithms are computationally demanding. In this paper we develop a forward model based on the efficient filter flow framework, incorporating the particularities of camera shake, and show how an efficient algorithm for blur removal can be obtained. Comprehensive comparisons on a number of real-world blurry images show that our approach is not only substantially faster, but it also leads to better deblurring results.

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Text

Hirsch et al. "Fast Removal of Non-Uniform Camera Shake." IEEE/CVF International Conference on Computer Vision, 2011. doi:10.1109/ICCV.2011.6126276

Markdown

[Hirsch et al. "Fast Removal of Non-Uniform Camera Shake." IEEE/CVF International Conference on Computer Vision, 2011.](https://mlanthology.org/iccv/2011/hirsch2011iccv-fast/) doi:10.1109/ICCV.2011.6126276

BibTeX

@inproceedings{hirsch2011iccv-fast,
  title     = {{Fast Removal of Non-Uniform Camera Shake}},
  author    = {Hirsch, Michael and Schuler, Christian J. and Harmeling, Stefan and Schölkopf, Bernhard},
  booktitle = {IEEE/CVF International Conference on Computer Vision},
  year      = {2011},
  pages     = {463-470},
  doi       = {10.1109/ICCV.2011.6126276},
  url       = {https://mlanthology.org/iccv/2011/hirsch2011iccv-fast/}
}