Comparison of the Optical Flow Quality for Video Denoising

Nelson Monzón, Javier Sánchez

2020

Abstract

Video denoising techniques need to understand the motion present in the scenes. In the literature, many strategies guide their temporal filters according to trajectories controlled by optical flow. However, the quality of these flows is rarely investigated. In fact, there are very few studies that compare the behavior of denoising proposals with different optical flow algorithms. In that direction, we analyze several methods and their performance using a general pipeline that reduces the noise through an average of the pixel’s trajectories. This ensures that the denoising strongly depends on the optical flow. We also analyze the behavior of the methods at occlusions and illumination changes. The pipeline incorporates a process to get rid of these effects, so that they do not affect the comparison metrics. We are led to propose a ranking of optical flows methods depending on their efficiency for video denoising, that mainly depends on their complexity.

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Paper Citation


in Harvard Style

Monzón N. and Sánchez J. (2020). Comparison of the Optical Flow Quality for Video Denoising. In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 4: VISAPP; ISBN 978-989-758-402-2, SciTePress, pages 717-724. DOI: 10.5220/0008767507170724


in Bibtex Style

@conference{visapp20,
author={Nelson Monzón and Javier Sánchez},
title={Comparison of the Optical Flow Quality for Video Denoising},
booktitle={Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 4: VISAPP},
year={2020},
pages={717-724},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008767507170724},
isbn={978-989-758-402-2},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 4: VISAPP
TI - Comparison of the Optical Flow Quality for Video Denoising
SN - 978-989-758-402-2
AU - Monzón N.
AU - Sánchez J.
PY - 2020
SP - 717
EP - 724
DO - 10.5220/0008767507170724
PB - SciTePress