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|a DE-627
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|e rakwb
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|a eng
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|a Chaux, Caroline
|e verfasserin
|4 aut
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|a Image analysis using a dual-tree M-band wavelet transform
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|c 2006
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|a Text
|b txt
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|a ohne Hilfsmittel zu benutzen
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|a Band
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|a Date Completed 12.09.2006
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|a Date Revised 10.12.2019
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|a published: Print
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|a Citation Status MEDLINE
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|a We propose a two-dimensional generalization to the M-band case of the dual-tree decomposition structure (initially proposed by Kingsbury and further investigated by Selesnick) based on a Hilbert pair of wavelets. We particularly address: 1) the construction of the dual basis and 2) the resulting directional analysis. We also revisit the necessary pre-processing stage in the M-band case. While several reconstructions are possible because of the redundancy of the representation, we propose a new optimal signal reconstruction technique, which minimizes potential estimation errors. The effectiveness of the proposed M-band decomposition is demonstrated via denoising comparisons on several image types (natural, texture, seismics), with various M-band wavelets and thresholding strategies. Significant improvements in terms of both overall noise reduction and direction preservation are observed
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|a Evaluation Study
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|a Journal Article
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|a Duval, Laurent
|e verfasserin
|4 aut
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|a Pesquet, Jean-Christophe
|e verfasserin
|4 aut
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|i Enthalten in
|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|d 1997
|g 15(2006), 8 vom: 10. Aug., Seite 2397-412
|w (DE-627)NLM09821456X
|x 1057-7149
|7 nnns
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|g volume:15
|g year:2006
|g number:8
|g day:10
|g month:08
|g pages:2397-412
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|d 15
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|h 2397-412
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