Ivanova, D., Siebert, J. P. and Williamson, J. (2022) Perceptual Loss based Approach for Analogue Film Restoration. In: 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 6-8 Feb 2022, pp. 126-135. ISBN 9789897585555 (doi: 10.5220/0010829300003124)
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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.
Item Type: | Conference Proceedings |
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Additional Information: | This work was supported by the Engineering and Physical Sciences Research Council (EPSRC) [grant number EP/RS13222/1]. |
Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Ivanova, Ms Daniela and Siebert, Dr Paul and Williamson, Dr John |
Authors: | Ivanova, D., Siebert, J. P., and Williamson, J. |
College/School: | College of Science and Engineering > School of Computing Science |
ISBN: | 9789897585555 |
Published Online: | 01 January 2022 |
Copyright Holders: | Copyright © 2022 by SCITEPRESS – Science and Technology Publications |
First Published: | First published in Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - (Volume 4): 126-135 |
Publisher Policy: | Reproduced under a Creative Commons License |
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