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Conference Paper: Novel filter algorithm for removing impulse noise in digital images
Title | Novel filter algorithm for removing impulse noise in digital images |
---|---|
Authors | |
Keywords | Noise removal Filtering Pixel identification Impulse noise Digial images |
Issue Date | 1995 |
Publisher | S P I E - International Society for Optical Engineering. The Journal's web site is located at http://spie.org/x1848.xml |
Citation | Proceedings Of Spie - The International Society For Optical Engineering, 1995, v. 2501 n. 1/-, p. 210-220 How to Cite? |
Abstract | In this paper, we present a novel filter algorithm that is more capable in removing impulse noise than some of the common noise removal filters. The philosophy of the new algorithm is based on a pixel identification concept. Rather than processing every pixel in a digital image, this new algorithm intelligently interrogates a subimage region to determine which are the 'corrupted' pixels within the subimage. With this knowledge, only the 'corrupted' pixels are eventually filtered, whereas the 'uncorrupted' pixels are untouched. Extensive testing of the algorithm over a hundred noisy images shows that the new algorithm exhibits three major characteristics. First, its ability in removing impulse noise is better visually and has the smallest mean-square error compared with the median filter, averaging filter and sigma filter. Second, the effect of smoothing is minimal. As a result, edge and line sharpness is retained. Third, the new algorithm is consistently faster than the median filter in all our test cases. In its current form, the new filter algorithm performs well with impulse noise. |
Persistent Identifier | http://hdl.handle.net/10722/45973 |
ISSN | 2023 SCImago Journal Rankings: 0.152 |
DC Field | Value | Language |
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dc.contributor.author | Yung, Nelson H | en_HK |
dc.contributor.author | Lai, Andrew H | en_HK |
dc.date.accessioned | 2007-10-30T06:39:46Z | - |
dc.date.available | 2007-10-30T06:39:46Z | - |
dc.date.issued | 1995 | en_HK |
dc.identifier.citation | Proceedings Of Spie - The International Society For Optical Engineering, 1995, v. 2501 n. 1/-, p. 210-220 | en_HK |
dc.identifier.issn | 0277-786X | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/45973 | - |
dc.description.abstract | In this paper, we present a novel filter algorithm that is more capable in removing impulse noise than some of the common noise removal filters. The philosophy of the new algorithm is based on a pixel identification concept. Rather than processing every pixel in a digital image, this new algorithm intelligently interrogates a subimage region to determine which are the 'corrupted' pixels within the subimage. With this knowledge, only the 'corrupted' pixels are eventually filtered, whereas the 'uncorrupted' pixels are untouched. Extensive testing of the algorithm over a hundred noisy images shows that the new algorithm exhibits three major characteristics. First, its ability in removing impulse noise is better visually and has the smallest mean-square error compared with the median filter, averaging filter and sigma filter. Second, the effect of smoothing is minimal. As a result, edge and line sharpness is retained. Third, the new algorithm is consistently faster than the median filter in all our test cases. In its current form, the new filter algorithm performs well with impulse noise. | en_HK |
dc.format.extent | 1034809 bytes | - |
dc.format.extent | 10863 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.format.mimetype | text/plain | - |
dc.language | eng | en_HK |
dc.publisher | S P I E - International Society for Optical Engineering. The Journal's web site is located at http://spie.org/x1848.xml | en_HK |
dc.relation.ispartof | Proceedings of SPIE - The International Society for Optical Engineering | en_HK |
dc.rights | Copyright 1995 Society of Photo‑Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this publication for a fee or for commercial purposes, and modification of the contents of the publication are prohibited. This article is available online at https://doi.org/10.1117/12.206724 | - |
dc.subject | Noise removal | en_HK |
dc.subject | Filtering | en_HK |
dc.subject | Pixel identification | en_HK |
dc.subject | Impulse noise | en_HK |
dc.subject | Digial images | en_HK |
dc.title | Novel filter algorithm for removing impulse noise in digital images | en_HK |
dc.type | Conference_Paper | en_HK |
dc.identifier.openurl | http://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0277-786X&volume=2501&spage=210&epage=220&date=1995&atitle=Novel+filter+algorithm+for+removing+impulse+noise+in+digital+images | en_HK |
dc.identifier.email | Yung, Nelson H:nyung@eee.hku.hk | en_HK |
dc.identifier.authority | Yung, Nelson H=rp00226 | en_HK |
dc.description.nature | published_or_final_version | en_HK |
dc.identifier.doi | 10.1117/12.206724 | en_HK |
dc.identifier.scopus | eid_2-s2.0-0029222712 | en_HK |
dc.identifier.hkuros | 1813 | - |
dc.identifier.volume | 2501 | en_HK |
dc.identifier.issue | 1/- | en_HK |
dc.identifier.spage | 210 | en_HK |
dc.identifier.epage | 220 | en_HK |
dc.publisher.place | United States | en_HK |
dc.identifier.scopusauthorid | Yung, Nelson H=7003473369 | en_HK |
dc.identifier.scopusauthorid | Lai, Andrew H=7102225794 | en_HK |
dc.identifier.issnl | 0277-786X | - |