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dc.contributor.authorVelisavljević, Vladanen_GB
dc.contributor.authorBeferull-Lozano, Baltasaren_GB
dc.contributor.authorVetterli, Martinen_GB
dc.contributor.authorDragotti, Pier Luigien_GB
dc.date.accessioned2013-05-30T13:11:30Z
dc.date.available2013-05-30T13:11:30Z
dc.date.issued2003
dc.identifier.citationVelisavljevic, V.; Beferull-Lozano, B.; Vetterli, M. and Dragotti, P.-L. (2003) 'Discrete multidirectional wavelet bases', International Conference on Image Processing (ICIP 2003), Barcelona, Spain,14-17 September. Barcelona: IEEE, vol.1, pp. 1025-1028en_GB
dc.identifier.isbn0780377508
dc.identifier.doi10.1109/ICIP.2003.1247140
dc.identifier.urihttp://hdl.handle.net/10547/293080
dc.description.abstractThe application of the wavelet transform in image processing is most frequently based on a separable construction. While simple, such an approach is not capable of capturing properly all 2D properties in images. In this paper, a new truly separable multidirectional transform is proposed with a subsampling method based on lattice theory. Applications are possible in many areas of image processing. Some promising improvements are achieved in nonlinear approximation and denoising of images.
dc.language.isoenen
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCen_GB
dc.relation.urlhttp://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=1247140en_GB
dc.subjectdiscrete wavelet transformsen_GB
dc.subjectimage denoisingen_GB
dc.subjectimage samplingen_GB
dc.titleDiscrete multidirectional wavelet basesen
dc.typeConference papers, meetings and proceedingsen
html.description.abstractThe application of the wavelet transform in image processing is most frequently based on a separable construction. While simple, such an approach is not capable of capturing properly all 2D properties in images. In this paper, a new truly separable multidirectional transform is proposed with a subsampling method based on lattice theory. Applications are possible in many areas of image processing. Some promising improvements are achieved in nonlinear approximation and denoising of images.


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