Fast adaptive similarity based impulsive noise reduction filter

B. Smolka; R. Lukac; A. Chydzinski; K. N. Plataniotis; W. Wojciechowski

doi:10.1016/j.rti.2003.09.015

Fast adaptive similarity based impulsive noise reduction filter

B. Smolka
, R. Lukac
, A. Chydzinski
, K. N. Plataniotis
, W. Wojciechowski

University of Toronto
Polish Academy of Sciences

Research output: Contribution to journal › Article › peer-review

101 Citations (Scopus)

Abstract

In this paper, we address the problem of impulsive noise reduction in multichannel images. A new class of filters for noise attenuation is introduced and its relationship with commonly used filtering techniques is investigated. The computational complexity of the new filter is lower than that of the vector median filter (VMF). Extensive simulation experiments indicate that the new filter outperforms the VMF, as well as other techniques currently used to eliminate impulsive noise in color images.

Original language	English
Pages (from-to)	261-276
Number of pages	16
Journal	Real-Time Imaging
Volume	9
Issue number	4
DOIs	https://doi.org/10.1016/j.rti.2003.09.015
Publication status	Published - Aug 2003

ASJC Scopus subject areas

Signal Processing
Computer Vision and Pattern Recognition
Electrical and Electronic Engineering

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10.1016/j.rti.2003.09.015

Cite this

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title = "Fast adaptive similarity based impulsive noise reduction filter",

abstract = "In this paper, we address the problem of impulsive noise reduction in multichannel images. A new class of filters for noise attenuation is introduced and its relationship with commonly used filtering techniques is investigated. The computational complexity of the new filter is lower than that of the vector median filter (VMF). Extensive simulation experiments indicate that the new filter outperforms the VMF, as well as other techniques currently used to eliminate impulsive noise in color images.",

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AU - Lukac, R.

AU - Chydzinski, A.

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AU - Wojciechowski, W.

PY - 2003/8

Y1 - 2003/8

N2 - In this paper, we address the problem of impulsive noise reduction in multichannel images. A new class of filters for noise attenuation is introduced and its relationship with commonly used filtering techniques is investigated. The computational complexity of the new filter is lower than that of the vector median filter (VMF). Extensive simulation experiments indicate that the new filter outperforms the VMF, as well as other techniques currently used to eliminate impulsive noise in color images.

AB - In this paper, we address the problem of impulsive noise reduction in multichannel images. A new class of filters for noise attenuation is introduced and its relationship with commonly used filtering techniques is investigated. The computational complexity of the new filter is lower than that of the vector median filter (VMF). Extensive simulation experiments indicate that the new filter outperforms the VMF, as well as other techniques currently used to eliminate impulsive noise in color images.

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DO - 10.1016/j.rti.2003.09.015

M3 - Article

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Fast adaptive similarity based impulsive noise reduction filter

Abstract

ASJC Scopus subject areas

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