Quasi-Circular Rotation Invariance in Image Denoising

dc.citation.bibtexNameinproceedingsen_US
dc.citation.conferenceNameIEEE International Conference on Image Processingen_US
dc.citation.locationKobe, Japanen_US
dc.contributor.authorWan, Yien_US
dc.contributor.authorNowak, Robert Daviden_US
dc.contributor.orgCenter for Multimedia Communications (http://cmc.rice.edu/)en_US
dc.date.accessioned2007-10-31T01:09:15Z
dc.date.available2007-10-31T01:09:15Z
dc.date.issued1999-10-20en
dc.date.modified2001-09-06en_US
dc.date.note2001-09-06en_US
dc.date.submitted1999-10-20en_US
dc.descriptionConference Paperen_US
dc.description.abstractThis paper studies a new method for wavelet-based image denoising which is translation invariant (TI) <b>and</b> rotation invariant (RI). These invariances are crucial in image denoising and, more generally, may play important roles in image modeling. In contrast to other approximately RI methods, like the steerable pyramid, our new method employs standard separable wavelet bases in conjunction with a pseudo-circular image rotation. This scheme does not involve interpolation and hence the observation model (likelihood function) is invariant under this rotation. The superiority of our new method with respect to existing TI (non-RI) techniques is supported by experiments.en_US
dc.identifier.citationY. Wan and R. D. Nowak, "Quasi-Circular Rotation Invariance in Image Denoising," 1999.
dc.identifier.urihttps://hdl.handle.net/1911/20437
dc.language.isoeng
dc.subjectwavelet based image denoising*
dc.subjecttranslation invariant (TI)*
dc.subjectrotation invariant (RI)*
dc.subject.keywordwavelet based image denoisingen_US
dc.subject.keywordtranslation invariant (TI)en_US
dc.subject.keywordrotation invariant (RI)en_US
dc.titleQuasi-Circular Rotation Invariance in Image Denoisingen_US
dc.typeConference paper
dc.type.dcmiText
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