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FLANN-based adaptive threshold selection for detection of impulsive noise in images

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Title: FLANN-based adaptive threshold selection for detection of impulsive noise in images
Authors: Majhi, Banshidhar bm_nitrkl@yahoo.com, Kumar Sa, Pankaj1
Source: AEU: International Journal of Electronics & Communications. Jul2007, Vol. 61 Issue 7, p478-484. 7p.
Subjects: Impulse (Psychology), Noise, Demodulation, Electronics
Abstract: Abstract: In this paper, a novel scheme has been suggested for removing random-valued impulsive noise from images. The proposed scheme utilizes a second-order differential impulse detection followed by a recursive median filter on the corrupted pixel locations. Adaptive threshold selection from noisy image characteristics has been emphasized in this paper. A functional link artificial neural network is used for this purpose. Comparative analysis on standard images at different noise conditions shows that the proposed scheme, in general, outperforms the existing schemes. [Copyright &y& Elsevier]
Copyright of AEU: International Journal of Electronics & Communications is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 25345050
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: FLANN-based adaptive threshold selection for detection of impulsive noise in images
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  Data: <searchLink fieldCode="AR" term="%22Majhi%2C+Banshidhar%22">Majhi, Banshidhar</searchLink><i> bm_nitrkl@yahoo.com</i><br /><searchLink fieldCode="AR" term="%22Kumar+Sa%2C+Pankaj%22">Kumar Sa, Pankaj</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22AEU%3A+International+Journal+of+Electronics+%26+Communications%22">AEU: International Journal of Electronics & Communications</searchLink>. Jul2007, Vol. 61 Issue 7, p478-484. 7p.
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  Data: <searchLink fieldCode="DE" term="%22Impulse+%28Psychology%29%22">Impulse (Psychology)</searchLink><br /><searchLink fieldCode="DE" term="%22Noise%22">Noise</searchLink><br /><searchLink fieldCode="DE" term="%22Demodulation%22">Demodulation</searchLink><br /><searchLink fieldCode="DE" term="%22Electronics%22">Electronics</searchLink>
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  Data: Abstract: In this paper, a novel scheme has been suggested for removing random-valued impulsive noise from images. The proposed scheme utilizes a second-order differential impulse detection followed by a recursive median filter on the corrupted pixel locations. Adaptive threshold selection from noisy image characteristics has been emphasized in this paper. A functional link artificial neural network is used for this purpose. Comparative analysis on standard images at different noise conditions shows that the proposed scheme, in general, outperforms the existing schemes. [Copyright &y& Elsevier]
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  Data: <i>Copyright of AEU: International Journal of Electronics & Communications is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1016/j.aeue.2006.08.007
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      – Code: eng
        Text: English
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        Type: general
      – SubjectFull: Demodulation
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      – SubjectFull: Electronics
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      – TitleFull: FLANN-based adaptive threshold selection for detection of impulsive noise in images
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            NameFull: Majhi, Banshidhar
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              Text: Jul2007
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              Y: 2007
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