ICIP 2006, Atlanta, GA

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Atlanta Conv. & Vis. Bureau


Technical Program

Paper Detail

Session:Wavelets and Filter Banks
Time:Tuesday, October 10, 09:40 - 12:20
Presentation: Poster
Authors: Vladan Velisavljevic; Deutsche Telekom Laboratories 
 Baltasar Beferull-Lozano; Universidad de Valencia 
 Martin Vetterli; Ecole Polytechnique Fédérale de Lausanne (EPFL) 
 Pier Luigi Dragotti; Imperial College London 
Abstract: The standard separable two-dimensional wavelet transform has recently achieved a great success in image processing because it provides a sparse representation of smooth images. However, it fails to capture efficiently one-dimensional discontinuities, like edges and contours, that are anisotropic and characterized by geometrical regularity along different directions. In our previous work, we proposed a construction of critically sampled perfect reconstruction anisotropic transform with directional vanishing moments imposed in the corresponding basis functions, called directionlets. Here, we show that the computational complexity of our transform is comparable to the complexity of the standard two-dimensional wavelet transform and substantially lower than the complexity of other similar approaches. We also present a zerotree-based image compression algorithm using directionlets that strongly outperforms the corresponding method based on the standard wavelets at low bit rates.