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Authors: Jieying Wang 1 ; Leonardo Joao 2 ; Alexandre Falcão 2 ; Jiří Kosinka 1 and Alexandru Telea 3

Affiliations: 1 Bernoulli Institute, University of Groningen, 9747 AG Groningen, The Netherlands ; 2 Department of Information Systems, Institute of Computing, University of Campinas, São Paulo CEP 13083-852, Brazil ; 3 Department of Information and Computing Sciences, Utrecht University, 3584 CC Utrecht, The Netherlands

ISBN: 978-989-758-488-6

ISSN: 2184-4321

Keyword(s): Medial Axis, Dense Skeleton, Image Simplification, Saliency Map.

Abstract: Medial descriptors offer a promising way for representing, simplifying, manipulating, and compressing images. However, to date, these have been applied in a global manner that is oblivious to salient features. In this paper, we adapt medial descriptors to use the information provided by saliency maps to selectively simplify and encode an image while preserving its salient regions. This allows us to improve the trade-off between compression ratio and image quality as compared to the standard dense-skeleton method while keeping perceptually salient features, in a focus-and-context manner. We show how our method can be combined with JPEG to increase overall compression rates at the cost of a slightly lower image quality. We demonstrate our method on a benchmark composed of a broad set of images.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Wang, J.; Joao, L.; Falcão, A.; Kosinka, J. and Telea, A. (2021). Focus-and-Context Skeleton-based Image Simplification using Saliency Maps. In Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, ISBN 978-989-758-488-6 ISSN 2184-4321, pages 45-55. DOI: 10.5220/0010193400450055

@conference{visapp21,
author={Jieying Wang. and Leonardo Joao. and Alexandre Falcão. and Ji\v{r}í Kosinka. and Alexandru Telea.},
title={Focus-and-Context Skeleton-based Image Simplification using Saliency Maps},
booktitle={Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP,},
year={2021},
pages={45-55},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010193400450055},
isbn={978-989-758-488-6},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP,
TI - Focus-and-Context Skeleton-based Image Simplification using Saliency Maps
SN - 978-989-758-488-6
IS - 2184-4321
AU - Wang, J.
AU - Joao, L.
AU - Falcão, A.
AU - Kosinka, J.
AU - Telea, A.
PY - 2021
SP - 45
EP - 55
DO - 10.5220/0010193400450055

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