liu.seSearch for publications in DiVA
Change search
ReferencesLink to record
Permanent link

Direct link
Medical image restoration using multiple-point geostatistics
School of Engineering and Information Technology, University of New South Wales, Canberra, ACT, Australia.ORCID iD: 0000-0002-4255-5130
2010 (English)In: 2010 3rd International Conference on Biomedical Engineering and Informatics (BMEI 2010): Volume 1, IEEE , 2010, 371-374 p.Conference paper (Other academic)Text
Abstract [en]

Noise inherently exists in medical and biological images as any imaging device, by a finite exposure time, is subject to stochastic noise from the random arrival events of photons. The purpose of image restoration is to bring back as much as possible the original image from its degraded state. This paper presents a spatial multiple-point statistical approach for restoration of medical image degradation.

Place, publisher, year, edition, pages
IEEE , 2010. 371-374 p.
National Category
Medical Image Processing
Identifiers
URN: urn:nbn:se:liu:diva-125033DOI: 10.1109/BMEI.2010.5639528ISBN: 9781424464951 (print)OAI: oai:DiVA.org:liu-125033DiVA: diva2:902758
Conference
2010 3rd International Conference on Biomedical Engineering and Informatics (BMEI 2010), Yantai China, 16-18 Oct. 2010
Available from: 2016-02-12 Created: 2016-02-12 Last updated: 2016-02-22Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Pham, Tuan D
Medical Image Processing

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 246 hits
ReferencesLink to record
Permanent link

Direct link