Discrete multidirectional wavelet bases
dc.contributor.author | Velisavljević, Vladan | en_GB |
dc.contributor.author | Beferull-Lozano, Baltasar | en_GB |
dc.contributor.author | Vetterli, Martin | en_GB |
dc.contributor.author | Dragotti, Pier Luigi | en_GB |
dc.date.accessioned | 2013-05-30T13:11:30Z | |
dc.date.available | 2013-05-30T13:11:30Z | |
dc.date.issued | 2003 | |
dc.identifier.citation | Velisavljevic, 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. 1025-1028 | en_GB |
dc.identifier.isbn | 0780377508 | |
dc.identifier.doi | 10.1109/ICIP.2003.1247140 | |
dc.identifier.uri | http://hdl.handle.net/10547/293080 | |
dc.description.abstract | The 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.iso | en | en |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | en_GB |
dc.relation.url | http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=1247140 | en_GB |
dc.subject | discrete wavelet transforms | en_GB |
dc.subject | image denoising | en_GB |
dc.subject | image sampling | en_GB |
dc.title | Discrete multidirectional wavelet bases | en |
dc.type | Conference papers, meetings and proceedings | en |
html.description.abstract | The 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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