A New 2-D Convex Combination of Recursive Inverse Algorithms
dc.contributor.author | Hameed, Alaa Ali | |
dc.contributor.author | Salman, Mohammad Shukri | |
dc.contributor.author | Karlik, Bekir | |
dc.date.accessioned | 2020-03-26T18:49:11Z | |
dc.date.available | 2020-03-26T18:49:11Z | |
dc.date.issued | 2014 | |
dc.department | Selçuk Üniversitesi | en_US |
dc.description | IEEE 34th International Conference on Electronics and Nanotechnology (ELNANO) -- APR 15-18, 2014 -- Kyiv, UKRAINE | en_US |
dc.description.abstract | De-noising magnetic resonance images (MRI) has recently become an interesting topic in medical diagnosis applications. Many algorithms have been proposed for this purpose. However, these algorithms usually suffer from poor performance or time consumption. In this paper, we propose a 2-D version of the recently proposed convex recursive inverse (RI) algorithm that provides fast convergence at the beginning to save time and then provides high performance in terms of noise removal. To test the algorithm, a de-noising experiment has been conducted on MR image that is assumed to be corrupted by an additive white Gaussian noise (AWGN). Simulations show that the proposed algorithm successfully recovers the image. | en_US |
dc.description.sponsorship | IEEE, Natl Tech Univ Ukraine, Kyiv Polytechn Inst, Teleopt PRA Ltd, IEEE Cent Ukraine Chapter ED MTT COM CPMT SSC Soc Joint Chapter, IEEE E Ukraine AP MTT ED AES GRS NPS Soc Joint Chapter, Publ Org Lady Sci, Natl Aviat Univ, IEEE Cent Ukraine AES SP Soc Joint Chapter, IEEE Ukraine Sect EMB Soc Chapter, IEEE Ukraine Young Profess Affin Grp, IEEE Ukraine Sect, IEEE KPI Student Branch, Off Naval Res Global, US Army Int Technol Ctr Atlantic, NAS, V Ye Lashkaryov Inst Semicond Phys | en_US |
dc.identifier.endpage | 276 | en_US |
dc.identifier.isbn | 978-1-4799-4580-1 | |
dc.identifier.scopusquality | N/A | en_US |
dc.identifier.startpage | 273 | en_US |
dc.identifier.uri | https://hdl.handle.net/20.500.12395/30549 | |
dc.identifier.wos | WOS:000346432100060 | en_US |
dc.identifier.wosquality | N/A | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE | en_US |
dc.relation.ispartof | 2014 IEEE 34TH INTERNATIONAL CONFERENCE ON ELECTRONICS AND NANOTECHNOLOGY (ELNANO) | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.selcuk | 20240510_oaig | en_US |
dc.subject | MRI | en_US |
dc.subject | recursive inverse algorithm | en_US |
dc.subject | second-order recursive inverse algorithm | en_US |
dc.subject | convex adaptive filtering | en_US |
dc.title | A New 2-D Convex Combination of Recursive Inverse Algorithms | en_US |
dc.type | Conference Object | en_US |