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dc.contributor.authorLi, Yuyingen_US
dc.contributor.authorSantosa, Fadilen_US
dc.date.accessioned2007-04-23T16:26:35Z
dc.date.available2007-04-23T16:26:35Z
dc.date.issued1994-12en_US
dc.identifier.citationhttp://techreports.library.cornell.edu:8081/Dienst/UI/1.0/Display/cul.cs/TR94-1470en_US
dc.identifier.urihttps://hdl.handle.net/1813/6079
dc.description.abstractA computational algorithm is proposed for image enhancement based on total variation minimization with constraints. This constrained minimization problem is introduced by Rudin et al \cite{osher1,osher3,osher2} to enhance blurred and noisy images. Our computational algorithm solves the constrained minimization problem directly by adapting the affine scaling method for the unconstrained $l_1$ problem \cite{CL89}. The resulting computational scheme, when viewed as an image enhancement process, has the feature that it can be used in an interactive manner in situations where knowledge of the noise level is either unavailable or unreliable. This computational algorithm can be implemented with a conjugate gradient method. It is further demonstrated that the iterative enhancement process is efficient.en_US
dc.format.extent570218 bytes
dc.format.extent4623725 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/postscript
dc.language.isoen_USen_US
dc.publisherCornell Universityen_US
dc.subjectcomputer scienceen_US
dc.subjecttechnical reporten_US
dc.titleAn Affine Scaling Algorithm for Minimizing Total Variation in ImageEnhancementen_US
dc.typetechnical reporten_US


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