Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/4887
Title: Adaptive two-pass rank order filter to remove impulse noise in highly corrupted images
Authors: Xu, X
Miller, E L
Chen, D
Sarhadi, M
Keywords: Center-weighted median filter (CWMF);Error index matrix;Impulse noise;Lower-upper-middle (LUM) filter;Median filter;SD-ROM filter;Spatial distribution of impulse noise
Issue Date: 2004
Publisher: IEEE
Citation: IEEE Transactions on Image Processing 13(2): 238-247, Feb 2004
Abstract: In this paper, we present an adaptive two-pass rank order filter to remove impulse noise in highly corrupted images. When the noise ratio is high, rank order filters, such as the median filter for example, can produce unsatisfactory results. Better results can be obtained by applying the filter twice, which we call two-pass filtering. To further improve the performance, we develop an adaptive two-pass rank order filter. Between the passes of filtering, an adaptive process is used to detect irregularities in the spatial distribution of the estimated impulse noise. The adaptive process then selectively replaces some pixels changed by the first pass of filtering with their original observed pixel values. These pixels are then kept unchanged during the second filtering. In combination, the adaptive process and the sec ond filter eliminate more impulse noise and restore some pixels that are mistakenly altered by the first filtering. As a final result, the reconstructed image maintains a higher degree of fidelity and has a smaller amount of noise. The idea of adaptive two-pass processing can be applied to many rank order filters, such as a center-weighted median filter (CWMF), adaptive CWMF, lower-upper-middle filter, and soft-decision rank-order-mean filter. Results from computer simulations are used to demonstrate the performance of this type of adaptation using a number of basic rank order filters.
Description: This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Brunel University's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. © 2004 IEEE.
URI: http://bura.brunel.ac.uk/handle/2438/4887
DOI: http://dx.doi.org/10.1109/tip.2004.823827
ISSN: 1057-7149
Appears in Collections:Mechanical and Aerospace Engineering
Dept of Mechanical and Aerospace Engineering Research Papers

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