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Article: New feature-preserving filter algorithm based on a priori knowledge of pixel types

TitleNew feature-preserving filter algorithm based on a priori knowledge of pixel types
Authors
KeywordsNoise removal
Feature preservation
Corrupted pixel identification
Impulse white noise
Noise estimation
Issue Date1996
PublisherS P I E - International Society for Optical Engineering. The Journal's web site is located at http://www.spie.org/oe
Citation
Optical Engineering, 1996, v. 35 n. 12, p. 3508-3521 How to Cite?
AbstractThe concept and algorithmic details of a new corrupted-pixel-identification- (CPI)-based estimation filter are presented. The approach is by transforming a noisy subimage centered on a corrupted pixel into its discrete cosine transform (DCT) domain, and approximating the transformed subimage by its DC (average) coefficient only, an estimation of the noise distribution is made by combining the knowledge of the number of corrupted pixels in the subimage and the pixel intensity of the noise term. This enables the DC coefficient of the restored image in the DCT domain to be determined, and from this, the restored pixel intensity can be calculated by an inverse DCT. The whole restored image can be obtained after all the corrupted pixels are exhausted. From an extensive performance evaluation, it was found that the new algorithm has a number of desirable characteristics. First, the CPI-based estimation algorithm performs extremely well when heavily degraded images are concerned. Second, the CPI-based estimation algorithm has acceptable feature-preserving properties, far better than the conventional median filter. Third, the new algorithm can be applied iteratively to the same noisy image. Fourth, the computing speed of the CPI-based estimation algorithm is almost three times faster than the conventional median filter, and 1.6 times faster than the original CPI algorithm, making it the fastest algorithm in this class so far. ©1996 Society of Photo – Optical Instrumentation Engineers.
Persistent Identifierhttp://hdl.handle.net/10722/42739
ISSN
2015 Impact Factor: 0.984
2015 SCImago Journal Rankings: 0.485
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLai, AHSen_HK
dc.contributor.authorYung, NHCen_HK
dc.date.accessioned2007-03-23T04:31:14Z-
dc.date.available2007-03-23T04:31:14Z-
dc.date.issued1996en_HK
dc.identifier.citationOptical Engineering, 1996, v. 35 n. 12, p. 3508-3521en_HK
dc.identifier.issn0091-3286en_HK
dc.identifier.urihttp://hdl.handle.net/10722/42739-
dc.description.abstractThe concept and algorithmic details of a new corrupted-pixel-identification- (CPI)-based estimation filter are presented. The approach is by transforming a noisy subimage centered on a corrupted pixel into its discrete cosine transform (DCT) domain, and approximating the transformed subimage by its DC (average) coefficient only, an estimation of the noise distribution is made by combining the knowledge of the number of corrupted pixels in the subimage and the pixel intensity of the noise term. This enables the DC coefficient of the restored image in the DCT domain to be determined, and from this, the restored pixel intensity can be calculated by an inverse DCT. The whole restored image can be obtained after all the corrupted pixels are exhausted. From an extensive performance evaluation, it was found that the new algorithm has a number of desirable characteristics. First, the CPI-based estimation algorithm performs extremely well when heavily degraded images are concerned. Second, the CPI-based estimation algorithm has acceptable feature-preserving properties, far better than the conventional median filter. Third, the new algorithm can be applied iteratively to the same noisy image. Fourth, the computing speed of the CPI-based estimation algorithm is almost three times faster than the conventional median filter, and 1.6 times faster than the original CPI algorithm, making it the fastest algorithm in this class so far. ©1996 Society of Photo – Optical Instrumentation Engineers.en_HK
dc.format.extent2318423 bytes-
dc.format.extent5183 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherS P I E - International Society for Optical Engineering. The Journal's web site is located at http://www.spie.org/oeen_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rightsCopyright 1996 Society of Photo-Optical Instrumentation Engineers. This paper was published in Optical Engineering, 1996, v. 35 n. 12, p. 3508-3521 and is made available as an electronic reprint with permission of SPIE. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.en_HK
dc.subjectNoise removalen_HK
dc.subjectFeature preservationen_HK
dc.subjectCorrupted pixel identificationen_HK
dc.subjectImpulse white noiseen_HK
dc.subjectNoise estimationen_HK
dc.titleNew feature-preserving filter algorithm based on a priori knowledge of pixel typesen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0091-3286&volume=35&issue=12&spage=3508&epage=3521&date=1996&atitle=New+feature-preserving+filter+algorithm+based+on+a+priori+knowledge+of+pixel+typesen_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1117/1.601087en_HK
dc.identifier.hkuros26671-
dc.identifier.isiWOS:A1996VX10000022-

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