Perceptual Loss based Approach for Analogue Film Restoration

Daniela Ivanova; Jan Paul Siebert; John Williamson

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Paper

Perceptual Loss based Approach for Analogue Film Restoration

Topics: Entertainment Imaging Applications; Features Extraction; Image Enhancement and Restoration; Imaging and Vision for Cultural Heritage; Transfer Learning

In Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4 VISAPP: VISAPP, 126-135, 2022

Authors: Daniela Ivanova ; Jan Paul Siebert and John Williamson

Affiliation: School of Computing Science, University of Glasgow, Glasgow, U.K.

Keyword(s): Image Restoration, Perceptual Loss, Restoration Evaluation.

Abstract: Analogue film restoration, both for still photographs and motion picture emulsions, is a slow and laborious manual process. Artifacts such as dust and scratches are random in shape, size, and location; additionally, the overall degree of damage varies between different frames. We address this less popular case of image restoration by training a U-Net model with a modified perceptual loss function. Along with the novel perceptual loss function used for training, we propose a more rigorous quantitative model evaluation approach which measures the overall degree of improvement in perceptual quality over our test set.

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Paper citation in several formats:

Ivanova, D.; Siebert, J. and Williamson, J. (2022). Perceptual Loss based Approach for Analogue Film Restoration. In Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 4: VISAPP; ISBN 978-989-758-555-5; ISSN 2184-4321, SciTePress, pages 126-135. DOI: 10.5220/0010829300003124

@conference{visapp22,
author={Daniela Ivanova. and Jan Paul Siebert. and John Williamson.},
title={Perceptual Loss based Approach for Analogue Film Restoration},
booktitle={Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 4: VISAPP},
year={2022},
pages={126-135},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010829300003124},
isbn={978-989-758-555-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 4: VISAPP
TI - Perceptual Loss based Approach for Analogue Film Restoration
SN - 978-989-758-555-5
IS - 2184-4321
AU - Ivanova, D.
AU - Siebert, J.
AU - Williamson, J.
PY - 2022
SP - 126
EP - 135
DO - 10.5220/0010829300003124
PB - SciTePress