Thinning based Antialiasing Approach for Visual Saliency of Digital Images

Olivier Rukundo

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Paper

Thinning based Antialiasing Approach for Visual Saliency of Digital Images

Topics: Entertainment Imaging Applications; Visual Attention and Image Saliency

In Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, 658-665, 2015 , Berlin, Germany

Author: Olivier Rukundo

Affiliation: Tilburg University, Netherlands

Keyword(s): Antialiasing, ACO, Edge Detection, Thinning, Edge-matting, Compositing, Near-realism.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Computer Vision, Visualization and Computer Graphics ; Entertainment Imaging Applications ; Image and Video Analysis ; Visual Attention and Image Saliency

Abstract: A thinning based approach for spatial antialiasing (TAA) has been proposed for visual saliency of digital images. This TAA approach is based on edge-matting and digital compositing strategies. Prior to edgematting the image edges are detected using ant colony optimization (ACO) algorithm and then thinned using a fast parallel algorithm. After the edge-matting, a composite image is created between the edge-matted and non-antialiasing image. Motivations for adopting the ACO and fast parallel algorithm in lieu of others found in the literature are also extensively addressed in this paper. Preliminary TAA experimental outcomes are more promising but with debatable smoothness to some extent of the original size of the images in comparison.

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Paper citation in several formats:

Rukundo, O. (2015). Thinning based Antialiasing Approach for Visual Saliency of Digital Images. In Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 2: VISAPP; ISBN 978-989-758-089-5; ISSN 2184-4321, SciTePress, pages 658-665. DOI: 10.5220/0005356206580665

@conference{visapp15,
author={Olivier Rukundo.},
title={Thinning based Antialiasing Approach for Visual Saliency of Digital Images},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 2: VISAPP},
year={2015},
pages={658-665},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005356206580665},
isbn={978-989-758-089-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 2: VISAPP
TI - Thinning based Antialiasing Approach for Visual Saliency of Digital Images
SN - 978-989-758-089-5
IS - 2184-4321
AU - Rukundo, O.
PY - 2015
SP - 658
EP - 665
DO - 10.5220/0005356206580665
PB - SciTePress