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Efficient Image Denoising by MRF Approximation with Uniform-Sampled Multi-Spanning-Tree

Sun, Jun; Li, Hongdong; He, Xuming

Description

Traditionally, image processing based on Markov Random Field (MRF) is often addressed on a 4-connected grid graph defined on the image. This structure is not computationally efficient. In our work, we develop a multiple-trees structure to approximate the

dc.contributor.authorSun, Jun
dc.contributor.authorLi, Hongdong
dc.contributor.authorHe, Xuming
dc.coverage.spatialHefei China
dc.date.accessioned2015-12-10T23:13:12Z
dc.date.createdAugust 12-15 2011
dc.identifier.isbn9780769545417
dc.identifier.urihttp://hdl.handle.net/1885/64315
dc.description.abstractTraditionally, image processing based on Markov Random Field (MRF) is often addressed on a 4-connected grid graph defined on the image. This structure is not computationally efficient. In our work, we develop a multiple-trees structure to approximate the
dc.publisherIEEE Computer Society
dc.relation.ispartofseriesInternational Conference on Image and Graphics (ICIG 2011)
dc.sourceInternational Conference on Image and Graphics (ICIG 2011) proceedings
dc.subjectKeywords: Computationally efficient; Grid graphs; Image de-noising; Loopy belief propagation; Markov random field; Maximum a posteriors; Median filter; MRF; Random Walk; Spanning tree; Tree structures; Algorithms; Computational efficiency; Dynamic programming; Imag Image denoising; MAP inference; MRF; Spanning tree
dc.titleEfficient Image Denoising by MRF Approximation with Uniform-Sampled Multi-Spanning-Tree
dc.typeConference paper
local.description.notesImported from ARIES
local.description.refereedYes
dc.date.issued2011
local.identifier.absfor080106 - Image Processing
local.identifier.ariespublicationu4334215xPUB915
local.type.statusPublished Version
local.contributor.affiliationSun, Jun, College of Engineering and Computer Science, ANU
local.contributor.affiliationLi, Hongdong, College of Engineering and Computer Science, ANU
local.contributor.affiliationHe, Xuming, National ICT Australia
local.description.embargo2037-12-31
local.bibliographicCitation.startpage88
local.bibliographicCitation.lastpage93
local.identifier.doi10.1109/ICIG.2011.186
local.identifier.absseo890202 - Application Tools and System Utilities
dc.date.updated2016-02-24T11:04:14Z
local.identifier.scopusID2-s2.0-80053004846
CollectionsANU Research Publications

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