A nonlinear multigrid method for total variation minimization from image restoration

A nonlinear multigrid method for total variation minimization from image restoration

Image restoration has been an active research topic and variational formulations are particularly effective in high quality recovery. Although there exist many modelling and theoretical results, available iterative solvers are not yet robust in solving such modeling equations. Recent attempts on dev...

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Bibliographic Details
Main Authors: Chen, Ke, Tai, Xue Cheng
Other Authors: School of Physical and Mathematical Sciences
Format: Journal Article
Language:English
Published: 2009
Subjects:
DRNTU::Science::Mathematics::Applied mathematics::Numerical analysis
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Online Access:https://hdl.handle.net/10356/90961
http://hdl.handle.net/10220/4595
http://sfxna09.hosted.exlibrisgroup.com:3410/ntu/sfxlcl3?sid=metalib:METAPRESS_XML&id=doi:&genre=Journal Article&isbn=&issn=&date=2007&volume=33&issue=2&spage=115&epage=138&aulast=Chen&aufirst=Ke&auinit=&title=Journal%20of%20Scientific%20Computing&atitle=A%20Nonlinear%20Multigrid%20Method%20for%20Total%20Variation%20Minimization%20from%20Image%20Restoration

Internet

https://hdl.handle.net/10356/90961
http://hdl.handle.net/10220/4595
http://sfxna09.hosted.exlibrisgroup.com:3410/ntu/sfxlcl3?sid=metalib:METAPRESS_XML&id=doi:&genre=Journal Article&isbn=&issn=&date=2007&volume=33&issue=2&spage=115&epage=138&aulast=Chen&aufirst=Ke&auinit=&title=Journal%20of%20Scientific%20Computing&atitle=A%20Nonlinear%20Multigrid%20Method%20for%20Total%20Variation%20Minimization%20from%20Image%20Restoration

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