Sciweavers

Share
warning: Creating default object from empty value in /var/www/modules/taxonomy/taxonomy.module on line 1416.
ISCAS
2005
IEEE
157views Hardware» more  ISCAS 2005»
12 years 3 months ago
Analog complex wavelet filters
Abstract— This paper presents an analog implementation of the complex wavelet transform using both the complex first order system (CFOS) and the Pad´e approximation. The comple...
Sandro A. P. Haddad, J. M. H. Karel, Ralf L. M. Pe...
ISBI
2006
IEEE
12 years 10 months ago
Complex wavelets for registration of tagged MRI sequences
Tagged Magnetic Resonance Imaging (MRI) is currently the reference MR modality for myocardial motion and strain analysis. Mutual Information (MI) based non rigid registration has ...
Estanislao Oubel, Alejandro F. Frangi, Alfred O. H...
ICIP
2000
IEEE
12 years 11 months ago
Rotationally Invariant Texture Features Using the Dual-Tree Complex Wavelet Transform
New rotationally invariant texture feature extraction methods are introduced that utilise the dual tree complex wavelet transform (DT-CWT). The complex wavelet transform is a new ...
Paul R. Hill, David R. Bull, Cedric Nishan Canagar...
ICIP
2002
IEEE
12 years 11 months ago
Overcomplete image coding using iterative projection-based noise shaping
Overcomplete transforms, like the Dual-Tree Complex Wavelet Transform, offer more flexible signal representations than criticallysampled transforms. Large numbers of transform coe...
Nick G. Kingsbury, Tanya Reeves
ICIP
2002
IEEE
12 years 11 months ago
Satellite and aerial image deconvolution using an EM method with complex wavelets
In this paper, we present a new deconvolution method, able to deal with noninvertible blurring functions. To avoid noise amplification, a prior model of the image to be reconstruc...
André Jalobeanu, Josiane Zerubia, Má...
ICIP
2003
IEEE
12 years 11 months ago
Redundant representation with complex wavelets: how to achieve sparsity
Overcomplete transforms, like the Dual-Tree Complex Wavelet Transform, offer more flexible signal representations than critically-sampled transforms, due to their properties of sh...
Nick G. Kingsbury, Tanya Reeves
ICIP
2003
IEEE
12 years 11 months ago
Spread transform watermarking for video sources
Spread Transform (ST) is a quantization watermarking algorithm in which vectors of the wavelet coefficients of a host work are quantized, using one of two dithered quantizers, to ...
John Earl, Nick G. Kingsbury
ICIP
2004
IEEE
12 years 11 months ago
Quaternion wavelets for image analysis and processing
Using the concepts of two-dimensional Hilbert transform and analytic signal, we construct a new quaternion wavelet transform (QWT). The QWT forms a tight frame and can be efficien...
Wai Lam Chan, Hyeokho Choi, Richard G. Baraniuk
ICIP
2005
IEEE
12 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...
ICIP
2006
IEEE
12 years 11 months ago
Multiscale Keypoint Detection using the Dual-Tree Complex Wavelet Transform
We present a novel approach to detect multiscale keypoints using the Dual Tree Complex Wavelet Transform (DTCWT). We show that it is a well-suited basis for this problem as it is ...
Julien Fauqueur, Nick G. Kingsbury, Ryan Anderson
books