QUALITY-BASED IMPROVEMENT OF QUANTIZATION FOR LIGHT FIELD COMPRESSION

Raphael Lerbour, Bruno Mercier, Daniel Meneveaux, Chaker Larabi

2007

Abstract

In the last decade, many methods have been proposed for rendering image-based objects. However, the number and the size of the images required are highly memory demanding. Based on the light field data structure, we propose an improved compression scheme favoring visual appearance and fast random access. Our method relies on vector quantization for preserving access in constant time. 2D Bounding boxes and masks are used to reduce the number of vectors during quantization. Several light field images are used instead of blocks of 4D samples, so that image similarities be exploited as much as possible. Psychophysical experiments performed in a room designed according to ITU recommendations validate the quality metrics of our method.

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Paper Citation


in Harvard Style

Lerbour R., Mercier B., Meneveaux D. and Larabi C. (2007). QUALITY-BASED IMPROVEMENT OF QUANTIZATION FOR LIGHT FIELD COMPRESSION . In Proceedings of the Second International Conference on Computer Graphics Theory and Applications - Volume 1: GRAPP, ISBN 978-972-8865-71-9, pages 235-243. DOI: 10.5220/0002078802350243


in Bibtex Style

@conference{grapp07,
author={Raphael Lerbour and Bruno Mercier and Daniel Meneveaux and Chaker Larabi},
title={QUALITY-BASED IMPROVEMENT OF QUANTIZATION FOR LIGHT FIELD COMPRESSION},
booktitle={Proceedings of the Second International Conference on Computer Graphics Theory and Applications - Volume 1: GRAPP,},
year={2007},
pages={235-243},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002078802350243},
isbn={978-972-8865-71-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Second International Conference on Computer Graphics Theory and Applications - Volume 1: GRAPP,
TI - QUALITY-BASED IMPROVEMENT OF QUANTIZATION FOR LIGHT FIELD COMPRESSION
SN - 978-972-8865-71-9
AU - Lerbour R.
AU - Mercier B.
AU - Meneveaux D.
AU - Larabi C.
PY - 2007
SP - 235
EP - 243
DO - 10.5220/0002078802350243