Nonlinear Wavelet Processing for Enhancement of Images

dc.citation.bibtexNameinproceedingsen_US
dc.citation.conferenceNameRice University CML Technical Reporten_US
dc.contributor.authorOdegard, Jan E.en_US
dc.contributor.authorLang, Markusen_US
dc.contributor.authorGuo, Haitaoen_US
dc.contributor.authorGopinath, Ramesh A.en_US
dc.contributor.authorBurrus, C. Sidneyen_US
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)en_US
dc.date.accessioned2007-10-31T00:56:42Zen_US
dc.date.available2007-10-31T00:56:42Zen_US
dc.date.issued1994-05-20en_US
dc.date.modified2004-01-09en_US
dc.date.note2004-01-09en_US
dc.date.submitted1994-05-20en_US
dc.descriptionConference Paperen_US
dc.description.abstractIn this note we apply some recent results on nonlinear wavelet analysis to image processing. In particular we illustrate how the (soft) thresholding algorithm due to Donoho and Johnstone can successfully be used to remove speckle in SAR imagery. Furthermore, we also show that transform coding artifacts, such as blocking in the JPEG algorithm, can be removed to achieve a perceptually improved image by post-processing the decompressed image.en_US
dc.identifier.citationJ. E. Odegard, M. Lang, H. Guo, R. A. Gopinath and C. S. Burrus, "Nonlinear Wavelet Processing for Enhancement of Images," 1994.en_US
dc.identifier.urihttps://hdl.handle.net/1911/20168en_US
dc.language.isoengen_US
dc.subjectTemporaryen_US
dc.subject.keywordTemporaryen_US
dc.subject.otherWavelet based Signal/Image Processingen_US
dc.titleNonlinear Wavelet Processing for Enhancement of Imagesen_US
dc.typeConference paperen_US
dc.type.dcmiTexten_US
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