PREDICTING BLOCKING EFFECTS IN THE SPATIAL DOMAIN USING A LEARNING APPROACH

Aladine Chetouani, Ghiles Mostafaoui, Azeddine Beghdadi

2008

Abstract

A new method for predicting blocking effect in the spatial domain is proposed. This method aims at estimating the appearance of blocking artefacts in the original image prior to compression for a given bit rate and a given compression technique. The basic idea is to use a training process in order to compute a visibility measure. A weighting function of the blocking effects is then derived from this training process performed on a database. The proposed method is objectively and subjectively evaluated on various actual images. The obtained results confirm the efficiency of the proposed method in predicting blocking effect.

References

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Paper Citation


in Harvard Style

Chetouani A., Mostafaoui G. and Beghdadi A. (2008). PREDICTING BLOCKING EFFECTS IN THE SPATIAL DOMAIN USING A LEARNING APPROACH . In Proceedings of the International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2008) ISBN 978-989-8111-60-9, pages 197-201. DOI: 10.5220/0001935401970201


in Bibtex Style

@conference{sigmap08,
author={Aladine Chetouani and Ghiles Mostafaoui and Azeddine Beghdadi},
title={PREDICTING BLOCKING EFFECTS IN THE SPATIAL DOMAIN USING A LEARNING APPROACH},
booktitle={Proceedings of the International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2008)},
year={2008},
pages={197-201},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001935401970201},
isbn={978-989-8111-60-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2008)
TI - PREDICTING BLOCKING EFFECTS IN THE SPATIAL DOMAIN USING A LEARNING APPROACH
SN - 978-989-8111-60-9
AU - Chetouani A.
AU - Mostafaoui G.
AU - Beghdadi A.
PY - 2008
SP - 197
EP - 201
DO - 10.5220/0001935401970201