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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/7265
Title: Detail-preserving image information restoration guided by SVM based noise mapping
Authors: Pankajakshan P.
Kumar V.
Published in: Digital Signal Processing: A Review Journal
Abstract: In this paper, we propose a new method to solve the problem of fixed-valued impulsive noise reduction in images. Nonlinear filter like the median filter (MF) is useful for reducing random noise and periodical patterns, but direct median filtering have undesirable side effects such as smoothening of noise free regions, which results in loss of image detail and distortion of the signal. Impulse noise is suppressed by selectively filtering the contaminated signal regions only, thus minimizing distortion of clean passages and loss of high frequencies. In the first phase, support vector machines (SVM) are used to segment the set of pixels N that are likely to be contaminated by the mixed impulses. In the second phase, the image is restored by employing a combination of the best neighborhood match filter (BNM) and the modified multi-shell median filter (MMMF) to these segmented regions. This method combines the effectiveness of the best neighborhood matching (BNM) filter in suppression of the noise components while adapting itself to the local image structures, and the edge and finer image detail preserving characteristics of the MMMF. To support our proposed method, numerical results are also provided, which indicate that the filter is extremely useful for preserving edges or monotonic changes in trend, while eliminating short duration impulses of high density. © 2006 Elsevier Inc. All rights reserved.
Citation: Digital Signal Processing: A Review Journal (2007), 17(3): 561-577
URI: https://doi.org/10.1016/j.dsp.2006.11.006
http://repository.iitr.ac.in/handle/123456789/7265
Issue Date: 2007
Publisher: Elsevier Inc.
Keywords: Impulse noise
Kernel function
Median filter (MF)
Noise suppression
Support vector machines (SVM)
ISSN: 10512004
Author Scopus IDs: 23390632300
25646515800
Author Affiliations: Pankajakshan, P., Department of Electrical Engineering, Texas A and M University, College Station, TX 77843, United States
Kumar, V., Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee, 247667 Uttaranchal, India
Corresponding Author: Pankajakshan, P.; Department of Electrical Engineering, Texas A and M University, College Station, TX 77843, United States; email: praveenpankaj@ieee.org
Appears in Collections:Journal Publications [EE]

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