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Image denoising using adaptive subband decomposition

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dc.contributor.authorGerek, Ömer Nezih
dc.contributor.authorİsmail Yılmaz
dc.contributor.authorÖmer Nezih Gerek
dc.contributor.authorEnis A. Cetin
dc.contributor.orcid0000-0002-6369-3081
dc.contributor.orcid0000-0002-4474-9617
dc.contributor.orcid0000-0001-8183-1356
dc.contributor.orcid0009-0001-2287-5292
dc.date.accessioned2025-11-13T11:28:52Z
dc.date.issued2002-11-13
dc.identifier.doihttps://doi.org/10.1109/icip.2001.959003
dc.identifier.openalexW2106018235
dc.identifier.urihttps://hdl.handle.net/11421/6934
dc.identifier.urihttps://doi.org/10.1109/icip.2001.959003
dc.language.isoen
dc.rightsrestrictedAccess
dc.subjectAdaptive filter
dc.subjectNoise reduction
dc.subjectFilter bank
dc.subjectFilter (signal processing)
dc.subjectDecomposition
dc.subjectComputer science
dc.subjectKernel adaptive filter
dc.subjectNon-local means
dc.subjectWavelet transform
dc.subjectLeast mean squares filter
dc.subjectVideo denoising
dc.subjectWavelet
dc.subjectAlgorithm
dc.subjectImage denoising
dc.subjectArtificial intelligence
dc.subjectMathematics
dc.subjectPattern recognition (psychology)
dc.subjectComputer vision
dc.subjectFilter design
dc.subject.sdg11
dc.titleImage denoising using adaptive subband decomposition
dc.typeArticle
dspace.entity.typePublication
local.authorid.openalexA5035651018

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