A nonlinear multigrid method for total variation minimization from image restoration

• المؤلفون الرئيسيون: Chen, Ke, Tai, Xue Cheng
• مؤلفون آخرون: School of Physical and Mathematical Sciences
• التنسيق: مقال
• اللغة: English
• منشور في: 2009
• الموضوعات: DRNTU::Science::Mathematics::Applied mathematics::Numerical analysis; DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
• الوصول للمادة أونلاين: 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
• المؤسسة: Nanyang Technological University

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...