A Mixture-Site Model for Edge-Preserving Image Restoration

Fessler, Jeffrey A.

A Mixture-Site Model for Edge-Preserving Image Restoration

dc.contributor.author	Fessler, Jeffrey A.	en_US
dc.date.accessioned	2011-08-18T18:21:06Z
dc.date.available	2011-08-18T18:21:06Z
dc.date.issued	1994-11-13	en_US
dc.identifier.citation	Fessler, Jeffrey A. (1994). "A Mixture-Site Model for Edge-Preserving Image Restoration." IEEE International Conference on Image Processing 3: 162-166. <http://hdl.handle.net/2027.42/85921>	en_US
dc.identifier.uri	https://hdl.handle.net/2027.42/85921
dc.description.abstract	The paper summarizes a new Bayesian method for edge-preserving image restoration from noisy measurements. The line-site method of Geman and Geman (1984) forces region boundaries to lie along pixel boundaries, which is unnatural, particularly for 3D data. The present authors augment the intensity process with a binary “mixture site” process, which has one parameter for each pixel indicating the presence of a boundary at some unknown location within that pixel. The method was motivated by the PET and SPECT transmission images with partial volume effects, and is easily extended to 3D data sets.	en_US
dc.publisher	IEEE	en_US
dc.title	A Mixture-Site Model for Edge-Preserving Image Restoration	en_US
dc.type	Article	en_US
dc.subject.hlbsecondlevel	Biomedical Engineering	en_US
dc.subject.hlbtoplevel	Engineering	en_US
dc.description.peerreviewed	Peer Reviewed	en_US
dc.description.bitstreamurl	http://deepblue.lib.umich.edu/bitstream/2027.42/85921/1/Fessler130.pdf
dc.identifier.doi	10.1109/ICIP.1994.413867	en_US
dc.identifier.source	IEEE International Conference on Image Processing	en_US
dc.owningcollname	Electrical Engineering and Computer Science, Department of (EECS)

Files in this item

Name:: Fessler130.pdf
Size:: 545.6KB
Format:: PDF

View/Open

Show simple item record

Remediation of Harmful Language

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.

Accessibility

If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.