A Bayesian approach to image restoration
2004 (English)In: Biomedical Imaging: Nano to Macro, 2004. IEEE International Symposium on, IEEE , 2004, 764-767 vol. 1 p.Conference paper (Refereed)
A method for reducing additive noise in images by explicit analysis of local image statistics is introduced and compared to other noise reduction methods. The proposed method, which makes use of an a priori noise model, has been evaluated on artificial and real (MRI) image data.
Place, publisher, year, edition, pages
IEEE , 2004. 764-767 vol. 1 p.
National CategoryMedical and Health Sciences
IdentifiersURN: urn:nbn:se:liu:diva-22264DOI: 10.1109/ISBI.2004.1398650Local ID: 1438ISBN: 0-7803-8388-5 (print)OAI: oai:DiVA.org:liu-22264DiVA: diva2:242577
IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Arlington, VA, USA, 15-18 April 2004