Complementary Sets of Shutter Sequences for Motion Deblurring
Abstract
In this paper, we present a novel multi-image motion deblurring method utilizing the coded exposure technique. The key idea of our work is to capture video frames with a set of complementary fluttering patterns to preserve spatial frequency details. We introduce an algorithm for generating a complementary set of binary sequences based on the modern communication theory and implement the coded exposure video system with an off-the-shelf machine vision camera. The effectiveness of our method is demonstrated on various challenging examples with quantitative and qualitative comparisons to other computational image capturing methods used for image deblurring.
Cite
Text
Jeon et al. "Complementary Sets of Shutter Sequences for Motion Deblurring." International Conference on Computer Vision, 2015. doi:10.1109/ICCV.2015.404Markdown
[Jeon et al. "Complementary Sets of Shutter Sequences for Motion Deblurring." International Conference on Computer Vision, 2015.](https://mlanthology.org/iccv/2015/jeon2015iccv-complementary/) doi:10.1109/ICCV.2015.404BibTeX
@inproceedings{jeon2015iccv-complementary,
title = {{Complementary Sets of Shutter Sequences for Motion Deblurring}},
author = {Jeon, Hae-Gon and Lee, Joon-Young and Han, Yudeog and Kim, Seon Joo and Kweon, In So},
booktitle = {International Conference on Computer Vision},
year = {2015},
doi = {10.1109/ICCV.2015.404},
url = {https://mlanthology.org/iccv/2015/jeon2015iccv-complementary/}
}