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dc.contributor.authorChoi, Hyeokho
Baraniuk, Richard G.
dc.creatorChoi, Hyeokho
Baraniuk, Richard G.
dc.date.accessioned 2007-10-31T00:40:01Z
dc.date.available 2007-10-31T00:40:01Z
dc.date.issued 2004-09-01
dc.date.submitted 2006-06-06
dc.identifier.citation H. Choi and R. G. Baraniuk, "Multiple wavelet basis image denoising using Besov ball projections," IEEE Signal Processing Letters, vol. 11, no. 9, 2004.
dc.identifier.urihttps://hdl.handle.net/1911/19798
dc.description Journal Paper
dc.description.abstract We propose a new image denoising algorithm that exploits an image's representation in multiple wavelet domains. Besov balls are convex sets of images whose Besov norms are bounded from above by their radii. Projecting an image onto a Besov ball of proper radius corresponds to a type of wavelet shrinkage for image denoising. By defining Besov balls in multiple wavelet domains and projecting onto their intersection using the projection onto convex sets (POCS) algorithm, we obtain an estimate that effectively combines estimates from multiple wavelet domains. While simple, the algorithm provides significant improvement over conventional wavelet shrinkage algorithms based on a single wavelet domain.
dc.language.iso eng
dc.subjectBesov
POCS
denoising
wavelet
dc.subject.otherDSP for Communications
dc.title Multiple wavelet basis image denoising using Besov ball projections
dc.type Journal article
dc.citation.bibtexName article
dc.citation.journalTitle IEEE Signal Processing Letters
dc.date.modified 2006-07-19
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)
dc.subject.keywordBesov
POCS
denoising
wavelet
dc.citation.volumeNumber 11
dc.citation.issueNumber 9
dc.type.dcmi Text
dc.type.dcmi Text
dc.identifier.doihttp://dx.doi.org/10.1109/LSP.2004.833493
dc.citation.firstpage 717
dc.citation.lastpage 720


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    Publications by Rice Faculty and graduate students in digital signal processing.
  • ECE Publications [1278]
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