A Decision based Multiple Threshold based Algorithm for elimination of Impulsive Noises and Artifacts in Images.
The Decision Based Multiple Threshold based Algorithm for the detach of impulsive Image noises, Artifacts in Images is proposed. The Crux of the work is that it uses Modified Winsorized variants (Median or Mean) as measure to estimate the processed pixel is either noisy or not. The manipulated noise...
| Publicado en: | Turkish Journal of Physiotherapy Rehabilitation Vol. 32; no. 2; pp. 195 - 207 |
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| Autores principales: | , , , , , , |
| Formato: | algorithm equations & formulas pictorial tables/charts Journal Article |
| Publicado: |
Turkish Journal of Physiotherapy & Rehabilitation
2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=151005956&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 151005956 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 13008757 YU1 jtl: Turkish Journal of Physiotherapy Rehabilitation issn: 13008757 maglogo: N pubinfo: dt: 2021 vid: 32 iid: 2 pid: 20392 pub: Turkish Journal of Physiotherapy & Rehabilitation place: Kizilay/ Ankara, <Blank> artinfo: ui: 151005956 151005956 151005956 151005956 ppf: 195 ppct: 12 formats: fmt: @attributes: type: P tig: atl: A Decision based Multiple Threshold based Algorithm for elimination of Impulsive Noises and Artifacts in Images. aug: au: D. V. N., Kameswari M., Divya Y., Pavani K., Aparna Vasanth, K. P., Marish Kumar K. S., Srinivasan affil: Vidya Jyothi Institute of Technology, Aziz Nagar, Chilukur Road, Hyderabad 500075, India sug: subj: Algorithms Image Interpretation, Computer Assisted Image Enhancement Methods Enhancement of Contrast Effect Mammography Coding Artifacts ab: The Decision Based Multiple Threshold based Algorithm for the detach of impulsive Image noises, Artifacts in Images is proposed. The Crux of the work is that it uses Modified Winsorized variants (Median or Mean) as measure to estimate the processed pixel is either noisy or not. The manipulated noise pixel is displaced with Unsymmetrical trimmed Winsorized Median or mean based on the neighbourhood. This Proposed methodology was build to exhibit excellent noise removal proficiency while removing the prearranged valued impulsive noise, Random Valued Impulse noise (Image Noises), picture Artifacts such as Blotches, Black Band Missing Noise, Stripes and scratches and combination of all degradations in an Image. Hence a single Algorithm that addresses multiple impulsive noise models is proposed. pubtype: Academic Journal doctype: algorithm equations & formulas pictorial tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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