VECTOR QUANTISATION BASED IMAGE ENHANCEMENT

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

2007

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.

Paper Citation

in Harvard Style

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 - Volume 1: VISAPP, ISBN 978-972-8865-73-3, pages 79-84. DOI: 10.5220/0002037900790084

in Bibtex Style

@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 - Volume 1: VISAPP,},
year={2007},
pages={79-84},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002037900790084},
isbn={978-972-8865-73-3},
}

in EndNote Style

TY - CONF
JO - Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP,
TI - VECTOR QUANTISATION BASED IMAGE ENHANCEMENT
SN - 978-972-8865-73-3
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