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» Image Denoising Using Derotated Complex Wavelet Coefficients
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ICIP
2005
IEEE
15 years 11 months ago
Coarse-level object recognition using interlevel products of complex wavelets
This paper introduces the Interlevel Product (ILP) which is a transform based upon the Dual-Tree Complex Wavelet. Coefficients of the ILP have complex values whose magnitudes indi...
Ryan Anderson, Nick G. Kingsbury, Julien Fauqueur
ECCV
2004
Springer
15 years 11 months ago
A l1-Unified Variational Framework for Image Restoration
Among image restoration literature, there are mainly two kinds of approach. One is based on a process over image wavelet coefficients, as wavelet shrinkage for denoising. The other...
Julien Bect, Laure Blanc-Féraud, Gilles Aub...

Publication
336views
15 years 2 months ago
A Discriminative approach for Wavelet Shrinkage Denoising
This paper suggests a discriminative approach for wavelet denoising where a set of mapping functions (MF) are applied to the transform coefficients in an attempt to produce a noi...
Yacov Hel-Or and Doron Shaked
ICIP
2005
IEEE
15 years 11 months ago
Image fusion using a new framework for complex wavelet transforms
Image fusion is the process of extracting meaningful visual information from two or more images and combinining them to form one fused image. Image fusion is important within many...
Paul R. Hill, David R. Bull, Cedric Nishan Canagar...
VIS
2004
IEEE
140views Visualization» more  VIS 2004»
15 years 10 months ago
Vector Wavelet Thresholding for Vector Field Denoising
Noise reduction is an important preprocessing step for many visualization techniques that make use of feature extraction. We propose a method for denoising 2-D vector fields that ...
Michel A. Westenberg, Thomas Ertl