MULTI-ERROR CORRECTION OF IMAGE FORMING SYSTEMS BY TRAINING SAMPLES MAINTAINING COLORS

Gerald Krell, Bernd Michaelis

2008

Abstract

Optical and electronic components of image forming devices degrade objective and subjective quality of the acquired or reproduced images. Classical restoration techniques usually require an explicit estimation or measurement of parameters for each error source. We propose to derive restoration parameters in a training phase with suitable test patterns for a particular system to be corrected. Space varying properties of different classes of image degradations are considered simultaneously. It is shown how training is performed in such a way that colors are reproduced correctly independently of the used test patterns.

Paper Citation

in Harvard Style

Krell G. and Michaelis B. (2008). MULTI-ERROR CORRECTION OF IMAGE FORMING SYSTEMS BY TRAINING SAMPLES MAINTAINING COLORS . In Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008) ISBN 978-989-8111-21-0, pages 152-158. DOI: 10.5220/0001084401520158

in Bibtex Style

@conference{visapp08,
author={Gerald Krell and Bernd Michaelis},
title={MULTI-ERROR CORRECTION OF IMAGE FORMING SYSTEMS BY TRAINING SAMPLES MAINTAINING COLORS},
booktitle={Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)},
year={2008},
pages={152-158},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001084401520158},
isbn={978-989-8111-21-0},
}

in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)
TI - MULTI-ERROR CORRECTION OF IMAGE FORMING SYSTEMS BY TRAINING SAMPLES MAINTAINING COLORS
SN - 978-989-8111-21-0
AU - Krell G.
AU - Michaelis B.
PY - 2008
SP - 152
EP - 158
DO - 10.5220/0001084401520158