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Authors: Giuliana Ramella and Gabriella Sanniti di Baja

Affiliation: Institute of Cybernetics "E.Caianiello", Italy

Keyword(s): Color Quantization, Image Scaling, Voronoi Diagram.

Related Ontology Subjects/Areas/Topics: Color and Texture Analyses ; Computer Vision, Visualization and Computer Graphics ; Image and Video Analysis ; Image and Video Coding and Compression ; Image Formation and Preprocessing

Abstract: A color quantization algorithm is presented, which is based on the reduction of the spatial resolution of the input image. The maximum number of colors nf desired for the output image is used to fix the proper spatial resolution reduction factor. This is used to build a lower resolution version of the input image with size nf. Colors found in the lower resolution image constitute the palette for the output image. The three components of each color of the palette are interpreted as the coordinates of a voxel in the 3D discrete space. The Voronoi Diagram of the set of voxels corresponding to the colors of the palette is computed and is used for color mapping of the input image.

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Paper citation in several formats:
Ramella, G. and Sanniti di Baja, G. (2013). Color Quantization via Spatial Resolution Reduction. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 1: VISAPP; ISBN 978-989-8565-47-1; ISSN 2184-4321, SciTePress, pages 78-83. DOI: 10.5220/0004272100780083

@conference{visapp13,
author={Giuliana Ramella. and Gabriella {Sanniti di Baja}.},
title={Color Quantization via Spatial Resolution Reduction},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 1: VISAPP},
year={2013},
pages={78-83},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004272100780083},
isbn={978-989-8565-47-1},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 1: VISAPP
TI - Color Quantization via Spatial Resolution Reduction
SN - 978-989-8565-47-1
IS - 2184-4321
AU - Ramella, G.
AU - Sanniti di Baja, G.
PY - 2013
SP - 78
EP - 83
DO - 10.5220/0004272100780083
PB - SciTePress