Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/484797
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dc.coverage.spatialElectronics and Electrical Engineering
dc.date.accessioned2023-05-23T07:01:56Z-
dc.date.available2023-05-23T07:01:56Z-
dc.identifier.urihttp://hdl.handle.net/10603/484797-
dc.description.abstractAn image is corrupted by noise during its acquisition transmission or storage Noise degrades the image quality and interpretability The aim of image denoising is to remove the distortion resulted by the noise while keeping the detail features in the image intact The sparse denoising methods represent a class of denoising algorithms based on the principle that a natural signal like the image is sparse over some basis set but the noise is not This has led to the widespread application of thes
dc.format.extentNot Available
dc.languageEnglish
dc.relationNot Available
dc.rightsself
dc.titleImage denoising using sparse and over complete representations
dc.title.alternativeNot available
dc.creator.researcherDeka, Bhabesh
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Electrical and Electronic
dc.description.noteNot Available
dc.contributor.guideBora, Prabin Kumar
dc.publisher.placeGuwahati
dc.publisher.universityIndian Institute of Technology Guwahati
dc.publisher.institutionDEPARTMENT OF ELECTRONICS AND ELECTRICAL ENGINEERING
dc.date.registered2003
dc.date.completed2011
dc.date.awarded2011
dc.format.dimensionsNot Available
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:DEPARTMENT OF ELECTRONICS AND ELECTRICAL ENGINEERING

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