Denoising of Noisy and Compressed Video Sequences

A. Buades, J. L. Lisani

2017

Abstract

A novel denoising algorithm is presented for video sequences. The proposed approach takes advantage of the self similarity and redundancy of adjacent frames. The algorithm automatically estimates a signal dependent noise model for each level of a multi-scale pyramid. A variance stabilization transform is applied at each scale and a novel sequence denoising algorithm is used. Experiments show that the new algorithm is able to correctly remove highly correlated noise from dark and compressed movie sequences. Particularly, we illustrate the performance with indoor and lowlight scenes acquired with mobile phones.

Paper Citation

in Harvard Style

Buades A. and Lisani J. (2017). Denoising of Noisy and Compressed Video Sequences . In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2017) ISBN 978-989-758-225-7, pages 150-157. DOI: 10.5220/0006101501500157

in Bibtex Style

@conference{visapp17,
author={A. Buades and J. L. Lisani},
title={Denoising of Noisy and Compressed Video Sequences},
booktitle={Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2017)},
year={2017},
pages={150-157},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006101501500157},
isbn={978-989-758-225-7},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2017)
TI - Denoising of Noisy and Compressed Video Sequences
SN - 978-989-758-225-7
AU - Buades A.
AU - Lisani J.
PY - 2017
SP - 150
EP - 157
DO - 10.5220/0006101501500157