Removing Non-Uniform Motion Blur from Images
Abstract
We propose a method for removing non-uniform motion blur from multiple blurry images. Traditional methods focus on estimating a single motion blur kernel for the entire image. In contrast, we aim to restore images blurred by unknown, spatially varying motion blur kernels caused by different relative motions between the camera and the scene. Our algorithm simultaneously estimates multiple motions, motion blur kernels, and the associated image segments. We formulate the problem as a regularized energy function and solve it using an alternating optimization technique. Real- world experiments demonstrate the effectiveness of the proposed method.
Cite
Text
Cho et al. "Removing Non-Uniform Motion Blur from Images." IEEE/CVF International Conference on Computer Vision, 2007. doi:10.1109/ICCV.2007.4408904Markdown
[Cho et al. "Removing Non-Uniform Motion Blur from Images." IEEE/CVF International Conference on Computer Vision, 2007.](https://mlanthology.org/iccv/2007/cho2007iccv-removing/) doi:10.1109/ICCV.2007.4408904BibTeX
@inproceedings{cho2007iccv-removing,
title = {{Removing Non-Uniform Motion Blur from Images}},
author = {Cho, Sunghyun and Matsushita, Yasuyuki and Lee, Seungyong},
booktitle = {IEEE/CVF International Conference on Computer Vision},
year = {2007},
pages = {1-8},
doi = {10.1109/ICCV.2007.4408904},
url = {https://mlanthology.org/iccv/2007/cho2007iccv-removing/}
}