File Download
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1117/1.600769
- Scopus: eid_2-s2.0-0042098373
- WOS: WOS:A1996VA11600010
- Find via
Supplementary
- Citations:
- Appears in Collections:
Article: Performance evaluation of a feature-preserving filtering algorithm for removing additive random noise in digital images
Title | Performance evaluation of a feature-preserving filtering algorithm for removing additive random noise in digital images |
---|---|
Authors | |
Keywords | Corrupted-pixel identification Feature preserving filtering Gaussian white noise Impulse noise Mean-square error Noise removal |
Issue Date | 1996 |
Publisher | S 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. 7, p. 1871-1885 How to Cite? |
Abstract | We evaluate the performance of a feature-preserving filtering algorithm over a range of images corrupted by typical additive random noise against three common spatial filter algorithms: median, sigma and averaging. The concept of the new algorithm is based on a corrupted-pixel identification methodology over a variable subimage size. Rather than processing every pixel indiscriminately in a digital image, this corrupted-pixel identification algorithm interrogates the image in variable-sized subimage regions to determine which are the corrupted pixels and which are not. As a result, only the corrupted pixels are being filtered, whereas the uncorrupted pixels are untouched. Extensive evaluation of the algorithm over a large number of noisy images shows that the corrupted-pixel identification algorithm exhibits three major characteristics. First, its ability in removing additive random noise is better visually (subjective) and has the smallest mean-square errors (objective) in all cases compared with the median filter, averaging filter and sigma filter. Second, the effect of smoothing introduced by the new filter is minimal. In other words, most edge and line sharpness is preserved. Third, the corrupted-pixel identification algorithm is consistently faster than the median and sigma filters in all our test cases. © 1996 Society of Photo-Optical Instrumentation Engineers. |
Persistent Identifier | http://hdl.handle.net/10722/44730 |
ISSN | 2023 Impact Factor: 1.1 2023 SCImago Journal Rankings: 0.331 |
ISI Accession Number ID | |
References |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yung, NHC | en_HK |
dc.contributor.author | Lai, AHS | en_HK |
dc.date.accessioned | 2007-10-30T06:08:57Z | - |
dc.date.available | 2007-10-30T06:08:57Z | - |
dc.date.issued | 1996 | en_HK |
dc.identifier.citation | Optical Engineering, 1996, v. 35 n. 7, p. 1871-1885 | en_HK |
dc.identifier.issn | 0091-3286 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/44730 | - |
dc.description.abstract | We evaluate the performance of a feature-preserving filtering algorithm over a range of images corrupted by typical additive random noise against three common spatial filter algorithms: median, sigma and averaging. The concept of the new algorithm is based on a corrupted-pixel identification methodology over a variable subimage size. Rather than processing every pixel indiscriminately in a digital image, this corrupted-pixel identification algorithm interrogates the image in variable-sized subimage regions to determine which are the corrupted pixels and which are not. As a result, only the corrupted pixels are being filtered, whereas the uncorrupted pixels are untouched. Extensive evaluation of the algorithm over a large number of noisy images shows that the corrupted-pixel identification algorithm exhibits three major characteristics. First, its ability in removing additive random noise is better visually (subjective) and has the smallest mean-square errors (objective) in all cases compared with the median filter, averaging filter and sigma filter. Second, the effect of smoothing introduced by the new filter is minimal. In other words, most edge and line sharpness is preserved. Third, the corrupted-pixel identification algorithm is consistently faster than the median and sigma filters in all our test cases. © 1996 Society of Photo-Optical Instrumentation Engineers. | en_HK |
dc.format.extent | 1890599 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://www.spie.org/oe | en_HK |
dc.relation.ispartof | Optical Engineering | en_HK |
dc.rights | Copyright 1996 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/10.1117/1.600769 | - |
dc.subject | Corrupted-pixel identification | en_HK |
dc.subject | Feature preserving filtering | en_HK |
dc.subject | Gaussian white noise | en_HK |
dc.subject | Impulse noise | en_HK |
dc.subject | Mean-square error | en_HK |
dc.subject | Noise removal | en_HK |
dc.title | Performance evaluation of a feature-preserving filtering algorithm for removing additive random noise in digital images | en_HK |
dc.type | Article | en_HK |
dc.identifier.openurl | http://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0091-3286&volume=35&issue=7&spage=1871&epage=1885&date=1996&atitle=Performance+evaluation+of+a+feature-preserving+filtering+algorithm+for+removing+additive+random+noise+in+digital+images | en_HK |
dc.identifier.email | Yung, NHC:nyung@eee.hku.hk | en_HK |
dc.identifier.authority | Yung, NHC=rp00226 | en_HK |
dc.description.nature | published_or_final_version | en_HK |
dc.identifier.doi | 10.1117/1.600769 | en_HK |
dc.identifier.scopus | eid_2-s2.0-0042098373 | en_HK |
dc.identifier.hkuros | 11672 | - |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-0042098373&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.volume | 35 | en_HK |
dc.identifier.issue | 7 | en_HK |
dc.identifier.spage | 1871 | en_HK |
dc.identifier.epage | 1885 | en_HK |
dc.identifier.isi | WOS:A1996VA11600010 | - |
dc.publisher.place | United States | en_HK |
dc.identifier.scopusauthorid | Yung, NHC=7003473369 | en_HK |
dc.identifier.scopusauthorid | Lai, AHS=7102225794 | en_HK |
dc.identifier.issnl | 0091-3286 | - |