VECTOR QUANTISATION BASED IMAGE ENHANCEMENT

W. Paul Cockshott; Sumitha L. Balasuriya; Irwan Prasetya Gunawan; J. Paul Siebert

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Paper

VECTOR QUANTISATION BASED IMAGE ENHANCEMENT

Topics: Enhancement and Restoration

In Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, 79-84, 2007 , Barcelona, Spain

Authors: W. Paul Cockshott ; Sumitha L. Balasuriya ; Irwan Prasetya Gunawan and J. Paul Siebert

Affiliation: University of Glasgow, United Kingdom

Keyword(s): Image rescaling, bspline, vector quantization, fractal.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Enhancement and Restoration ; Image Formation and Preprocessing

Abstract: We present a new algorithm for rescaling images inspired by fractal coding. It uses a statistical model of the relationship between detail at different scales of the image to interpolate detail at one octave above the highest spatial frequency in the original image. We compare it with Bspline and bilinear interpolation techniques and show that it yields a sharper looking rescaled image.

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Paper citation in several formats:

Paul Cockshott, W.; L. Balasuriya, S.; Prasetya Gunawan, I. and Paul Siebert, J. (2007). VECTOR QUANTISATION BASED IMAGE ENHANCEMENT. In Proceedings of the Second International Conference on Computer Vision Theory and Applications (VISIGRAPP 2007) - Volume 1: VISAPP; ISBN 978-972-8865-73-3; ISSN 2184-4321, SciTePress, pages 79-84. DOI: 10.5220/0002037900790084

@conference{visapp07,
author={W. {Paul Cockshott}. and Sumitha {L. Balasuriya}. and Irwan {Prasetya Gunawan}. and J. {Paul Siebert}.},
title={VECTOR QUANTISATION BASED IMAGE ENHANCEMENT},
booktitle={Proceedings of the Second International Conference on Computer Vision Theory and Applications (VISIGRAPP 2007) - Volume 1: VISAPP},
year={2007},
pages={79-84},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002037900790084},
isbn={978-972-8865-73-3},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the Second International Conference on Computer Vision Theory and Applications (VISIGRAPP 2007) - Volume 1: VISAPP
TI - VECTOR QUANTISATION BASED IMAGE ENHANCEMENT
SN - 978-972-8865-73-3
IS - 2184-4321
AU - Paul Cockshott, W.
AU - L. Balasuriya, S.
AU - Prasetya Gunawan, I.
AU - Paul Siebert, J.
PY - 2007
SP - 79
EP - 84
DO - 10.5220/0002037900790084
PB - SciTePress