Rolling Shutter Motion Deblurring

Abstract

Although motion blur and rolling shutter deformations are closely coupled artifacts in images taken with CMOS image sensors, the two phenomena have so far mostly been treated separately, with deblurring algorithms being unable to handle rolling shutter wobble, and rolling shutter algorithms being incapable of dealing with motion blur. We propose an approach that delivers sharp and undistorted output given a single rolling shutter motion blurred image. The key to achieving this is a global modeling of the camera motion trajectory, which enables each scanline of the image to be deblurred with the corresponding motion segment. We show the results of the proposed framework through experiments on synthetic and real data.

Cite

Text

Su and Heidrich. "Rolling Shutter Motion Deblurring." Conference on Computer Vision and Pattern Recognition, 2015. doi:10.1109/CVPR.2015.7298760

Markdown

[Su and Heidrich. "Rolling Shutter Motion Deblurring." Conference on Computer Vision and Pattern Recognition, 2015.](https://mlanthology.org/cvpr/2015/su2015cvpr-rolling/) doi:10.1109/CVPR.2015.7298760

BibTeX

@inproceedings{su2015cvpr-rolling,
  title     = {{Rolling Shutter Motion Deblurring}},
  author    = {Su, Shuochen and Heidrich, Wolfgang},
  booktitle = {Conference on Computer Vision and Pattern Recognition},
  year      = {2015},
  doi       = {10.1109/CVPR.2015.7298760},
  url       = {https://mlanthology.org/cvpr/2015/su2015cvpr-rolling/}
}