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

Catalina Cocianu, Luminita State, Vlamos Panayiotis, Viorica Stefanescu

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.

References

  1. Brockwell, P., Richard, A., 1985, Time Series: Theory and Methods, Springer Verlag
  2. Cocianu, C., State, L., Vlamos, P.,2002, On a Certain Class of Algorithms for Noise Removal in Image Processing: A Comparative Study, In Third IEEE Conference on Information Technology ITCC-2002, Las Vegas, Nevada, USA, April 8-10, 2002
  3. Cocianu, C., State, L., Stefanescu, V., Vlamos, P., 2003, Noise Removal Techniques Using the Multiresolution Representation, In Proceedings of 32nd International Conference on Computer&Industrial Engineering (ICC&IE), Limerick, Ireland, August 11th-13th, 2003
  4. Jain, A. K., Kasturi, R., Schnuck, B. G., 1995, Machine Vision, McGraw Hill
  5. Sonka, M., Hlavac, V., 1997, Image Processing, Analyses and Machine Vision, Chapman & Hall Computing
  6. Stark, J.L., Murtagh, F., Bijaoui, A., 1995, Multiresolution Support Applied to Image Filtering and Restoration, Technical Report
  7. State, L, Cocianu, C, Vlamos, P.., 2001, Attempts in Using Statistical Tools for Image Restoration Purposes, In Proceedings of SCI2001, Orlando, USA, 2001
Download


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