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Conference Paper: New feature preserving noise removal algorithm based on thediscrete cosine transform and the a prior knowledge of pixel type

TitleNew feature preserving noise removal algorithm based on thediscrete cosine transform and the a prior knowledge of pixel type
Authors
KeywordsComputers
Computer graphics
Issue Date1996
PublisherIEEE.
Citation
International Conference on Image Processing Proceedings, Lausanne, Switzerland, 16-19 September 1996, v. 1, p. 415-418 How to Cite?
AbstractIn this paper, a new corrupted-pixel-identification (CPI) based estimation filter is presented. The method is especially useful for filtering clustered noise. After the corrupted pixels are identified by the CPI algorithm, the noisy subimage centered on a corrupted pixel is transformed into its discrete cosine transform (DCT) domain where the transformed subimage is approximated by its DC coefficient only. With the knowledge of the number of corrupted pixels in the subimage from the CPI algorithm, an estimation of the noise distribution can be made, from which the DC coefficient of the restored subimage can be determined. Hence, noise filtering is achieved. From the experimental results, we can show that the CPI-based estimation filter has three desirable characteristics: (1) it has superior noise removal performance over the conventional median filter and CPI-based median filter in filtering clustered noise; (2) it has good feature preserving property (better than conventional filters); and (3) the computing speed of the filter is almost three times faster than the conventional median filter.
Persistent Identifierhttp://hdl.handle.net/10722/45994
ISSN

 

DC FieldValueLanguage
dc.contributor.authorYung, HCen_HK
dc.contributor.authorLai, HSen_HK
dc.date.accessioned2007-10-30T06:40:12Z-
dc.date.available2007-10-30T06:40:12Z-
dc.date.issued1996en_HK
dc.identifier.citationInternational Conference on Image Processing Proceedings, Lausanne, Switzerland, 16-19 September 1996, v. 1, p. 415-418en_HK
dc.identifier.issn1522-4880en_HK
dc.identifier.urihttp://hdl.handle.net/10722/45994-
dc.description.abstractIn this paper, a new corrupted-pixel-identification (CPI) based estimation filter is presented. The method is especially useful for filtering clustered noise. After the corrupted pixels are identified by the CPI algorithm, the noisy subimage centered on a corrupted pixel is transformed into its discrete cosine transform (DCT) domain where the transformed subimage is approximated by its DC coefficient only. With the knowledge of the number of corrupted pixels in the subimage from the CPI algorithm, an estimation of the noise distribution can be made, from which the DC coefficient of the restored subimage can be determined. Hence, noise filtering is achieved. From the experimental results, we can show that the CPI-based estimation filter has three desirable characteristics: (1) it has superior noise removal performance over the conventional median filter and CPI-based median filter in filtering clustered noise; (2) it has good feature preserving property (better than conventional filters); and (3) the computing speed of the filter is almost three times faster than the conventional median filter.en_HK
dc.format.extent637065 bytes-
dc.format.extent1836 bytes-
dc.format.extent10863 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rights©1996 IEEE. 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 to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_HK
dc.subjectComputersen_HK
dc.subjectComputer graphicsen_HK
dc.titleNew feature preserving noise removal algorithm based on thediscrete cosine transform and the a prior knowledge of pixel typeen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1522-4880&volume=1&spage=415&epage=418&date=1996&atitle=New+feature+preserving+noise+removal+algorithm+based+on+thediscrete+cosine+transform+and+the+a+prior+knowledge+of+pixel+typeen_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/ICIP.1996.559521en_HK
dc.identifier.hkuros26713-

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