# A STATISTICAL BASED APPROACH FOR REMOVING HEAVY TAIL NOISE FROM IMAGES

### M. El Hassouni, H. Cherifi

#### Abstract

In this paper, we propose to use a class of filters based on fractional lower order statistics (FLOS) for still image restoration in the presence of α-stable noise. For this purpose, we present a family of 2-D finite-impulse response (FIR) adaptive filters optimized by the least mean lp-norm (LMP) algorithm. Experiments performed on natural images prove that the proposed algorithms provide superior performance in impulsive noise environments compared to LMS and Weighted Myriad filters.

#### References

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#### Paper Citation

#### in Harvard Style

El Hassouni M. and Cherifi H. (2006). **A STATISTICAL BASED APPROACH FOR REMOVING HEAVY TAIL NOISE FROM IMAGES** . In *Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP,* ISBN 972-8865-40-6, pages 157-161. DOI: 10.5220/0001371901570161

#### in Bibtex Style

@conference{visapp06,

author={M. El Hassouni and H. Cherifi},

title={A STATISTICAL BASED APPROACH FOR REMOVING HEAVY TAIL NOISE FROM IMAGES},

booktitle={Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP,},

year={2006},

pages={157-161},

publisher={SciTePress},

organization={INSTICC},

doi={10.5220/0001371901570161},

isbn={972-8865-40-6},

}

#### in EndNote Style

TY - CONF

JO - Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP,

TI - A STATISTICAL BASED APPROACH FOR REMOVING HEAVY TAIL NOISE FROM IMAGES

SN - 972-8865-40-6

AU - El Hassouni M.

AU - Cherifi H.

PY - 2006

SP - 157

EP - 161

DO - 10.5220/0001371901570161