DECORRELATION TECHNIQUES IN IMAGE RESTORATION

Catalina Cocianu, Luminita State, Panayiotis Vlamos, Doru Constantin

Abstract

The restoration can be viewed as a process that attempts to reconstruct or recover an image that has been degraded by using some a priori knowledge about the degradation phenomenon. The multiresolution support provides a suitable framework for noise filtering and image restoration by noise suppression. We present the algorithms GMNR, a generalization of the MNR algorithm based on the multiresolution support set for noise removal in case of arbitrary mean, and NFPCA. A comparative analysis of the performance of the algorithms GNMR and NFPCA is experimentally performed against the standard AMVR and MMSE.

References

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Paper Citation


in Harvard Style

Cocianu C., State L., Vlamos P. and Constantin D. (2008). DECORRELATION TECHNIQUES IN IMAGE RESTORATION . In Proceedings of the International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2008) ISBN 978-989-8111-60-9, pages 193-196. DOI: 10.5220/0001933901930196


in Bibtex Style

@conference{sigmap08,
author={Catalina Cocianu and Luminita State and Panayiotis Vlamos and Doru Constantin},
title={DECORRELATION TECHNIQUES IN IMAGE RESTORATION},
booktitle={Proceedings of the International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2008)},
year={2008},
pages={193-196},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001933901930196},
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 - DECORRELATION TECHNIQUES IN IMAGE RESTORATION
SN - 978-989-8111-60-9
AU - Cocianu C.
AU - State L.
AU - Vlamos P.
AU - Constantin D.
PY - 2008
SP - 193
EP - 196
DO - 10.5220/0001933901930196