ON THE EFFICIENCY OF A CERTAIN CLASS OF NOISE REMOVAL ALGORITHMS IN SOLVING IMAGE PROCESSING TASKS

Catalina Cocianu, Luminita State, Vlamos Panayiotis, Viorica Stefanescu

2004

Abstract

The investigated noise removal algorithms are HRBA, HSBA, HBA, AMVR, PNRA, MMSE, MNR, MNR2 and NFPCA. The multiresolution support provides a suitable framework for noise filtering and for restoration purposes by noise suppression. The techniques used in the paper are mainly based on the statistically significant wavelet coefficients specifying the support. The performed tests reveal that the use of the multiresolution support proves powerful and offers a versatile way to handle noise of different classes of distributions.

Paper Citation

in Harvard Style

Cocianu C., State L., Panayiotis V. and Stefanescu V. (2004). ON THE EFFICIENCY OF A CERTAIN CLASS OF NOISE REMOVAL ALGORITHMS IN SOLVING IMAGE PROCESSING TASKS . In Proceedings of the First International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO, ISBN 972-8865-12-0, pages 320-323. DOI: 10.5220/0001127603200323

in Bibtex Style

@conference{icinco04,
author={Catalina Cocianu and Luminita State and Vlamos Panayiotis and Viorica Stefanescu},
title={ON THE EFFICIENCY OF A CERTAIN CLASS OF NOISE REMOVAL ALGORITHMS IN SOLVING IMAGE PROCESSING TASKS},
booktitle={Proceedings of the First International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,},
year={2004},
pages={320-323},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001127603200323},
isbn={972-8865-12-0},
}

in EndNote Style

TY - CONF
JO - Proceedings of the First International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,
TI - ON THE EFFICIENCY OF A CERTAIN CLASS OF NOISE REMOVAL ALGORITHMS IN SOLVING IMAGE PROCESSING TASKS
SN - 972-8865-12-0
AU - Cocianu C.
AU - State L.
AU - Panayiotis V.
AU - Stefanescu V.
PY - 2004
SP - 320
EP - 323
DO - 10.5220/0001127603200323