Directional dyadic wavelet transforms : design and algorithms

We propose a simple and efficient technique for designing translation invariant dyadic wavelet transforms (DWTs) in two dimensions. Our technique relies on an extension of the work of Duval-Destin et al. where dyadic decompositions are constructed starting from the continuous wavelet transform. The...

Ausführliche Beschreibung

Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 11(2002), 4 vom: 15., Seite 363-72
1. Verfasser: Vandergheynst, Pierre (VerfasserIn)
Weitere Verfasser: Gobbers, Jean-François
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2002
Zugriff auf das übergeordnete Werk:IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:Journal Article
LEADER 01000caa a22002652 4500
001 NLM177329823
003 DE-627
005 20250209042650.0
007 cr uuu---uuuuu
008 231223s2002 xx |||||o 00| ||eng c
024 7 |a 10.1109/TIP.2002.999670  |2 doi 
028 5 2 |a pubmed25n0591.xml 
035 |a (DE-627)NLM177329823 
035 |a (NLM)18244638 
040 |a DE-627  |b ger  |c DE-627  |e rakwb 
041 |a eng 
100 1 |a Vandergheynst, Pierre  |e verfasserin  |4 aut 
245 1 0 |a Directional dyadic wavelet transforms  |b design and algorithms 
264 1 |c 2002 
336 |a Text  |b txt  |2 rdacontent 
337 |a ƒaComputermedien  |b c  |2 rdamedia 
338 |a ƒa Online-Ressource  |b cr  |2 rdacarrier 
500 |a Date Completed 16.12.2009 
500 |a Date Revised 04.02.2008 
500 |a published: Print 
500 |a Citation Status PubMed-not-MEDLINE 
520 |a We propose a simple and efficient technique for designing translation invariant dyadic wavelet transforms (DWTs) in two dimensions. Our technique relies on an extension of the work of Duval-Destin et al. where dyadic decompositions are constructed starting from the continuous wavelet transform. The main advantage of this framework is that it allows for a lot of freedom in designing two-dimensional (2-D) dyadic wavelets. We use this property to construct directional wavelets, whose orientation filtering capabilities are very important in image processing. We address the efficient implementation of these decompositions by constructing approximate QMFs through an L(2) optimization. We also propose and study an efficient implementation in the Fourier domain for dealing with large filters 
650 4 |a Journal Article 
700 1 |a Gobbers, Jean-François  |e verfasserin  |4 aut 
773 0 8 |i Enthalten in  |t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society  |d 1992  |g 11(2002), 4 vom: 15., Seite 363-72  |w (DE-627)NLM09821456X  |x 1057-7149  |7 nnns 
773 1 8 |g volume:11  |g year:2002  |g number:4  |g day:15  |g pages:363-72 
856 4 0 |u http://dx.doi.org/10.1109/TIP.2002.999670  |3 Volltext 
912 |a GBV_USEFLAG_A 
912 |a SYSFLAG_A 
912 |a GBV_NLM 
912 |a GBV_ILN_350 
951 |a AR 
952 |d 11  |j 2002  |e 4  |b 15  |h 363-72