Rotational Motion Deblurring of a Rigid Object from a Single Image
Abstract
Most previous motion deblurring methods restore the degraded image assuming a shift-invariant linear blur filter. These methods are not applicable if the blur is caused by spatially variant motions. In this paper, we model the physical properties of a 2-D rigid body movement and propose a practical framework to deblur rotational motions from a single image. Our main observation is that the transparency cue of a blurred object, which represents the motion blur formation from an imaging perspective, provides sufficient information in determining the object movements. Comparatively, single image motion deblurring using pixel color/gradient information has large uncertainties in motion representation and computation. Our results are produced by minimizing a new energy function combining rotation, possible translations, and the transparency map using an iterative optimizing process. The effectiveness of our method is demonstrated using challenging image examples. 1.
Cite
Text
Shan et al. "Rotational Motion Deblurring of a Rigid Object from a Single Image." IEEE/CVF International Conference on Computer Vision, 2007. doi:10.1109/ICCV.2007.4408922Markdown
[Shan et al. "Rotational Motion Deblurring of a Rigid Object from a Single Image." IEEE/CVF International Conference on Computer Vision, 2007.](https://mlanthology.org/iccv/2007/shan2007iccv-rotational/) doi:10.1109/ICCV.2007.4408922BibTeX
@inproceedings{shan2007iccv-rotational,
title = {{Rotational Motion Deblurring of a Rigid Object from a Single Image}},
author = {Shan, Qi and Xiong, Wei and Jia, Jiaya},
booktitle = {IEEE/CVF International Conference on Computer Vision},
year = {2007},
pages = {1-8},
doi = {10.1109/ICCV.2007.4408922},
url = {https://mlanthology.org/iccv/2007/shan2007iccv-rotational/}
}