Results 151 to 160 of about 1,628 (189)

The Ridgelet transform of distributions

Integral Transforms and Special Functions, 2014
Stevan Pilipovic, Jasson Vindas
exaly   +1 more source

Image denoising with complex ridgelets

Pattern Recognition, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chen, Guangyi, Kégl, Balázs
openaire   +2 more sources

3D fast ridgelet transform

Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429), 2004
In this paper, we present a fast implementation of the 3D ridgelet transform based on discrete analytical 3D lines: the 3D discrete analytical ridgelet transform (DART). This transform uses the Fourier strategy (the projection-slice formula) for the computation of the associated discrete Radon transform.
Carré, Philippe, Helbert, David, Andrès, Éric   +2 more
openaire   +1 more source

Robust Digital Watermarking in the Ridgelet Domain

IEEE Signal Processing Letters, 2004
In this letter, we propose a multiplicative watermarking method operating in the ridgelet domain. We employ the directional sensitivity and the anisotropy of the ridgelet transform (RT) in order to obtain a sparse image representation, where the most significant coefficients represent the most energetic direction of an image with straight edges ...
Patrizio Campisi, Deepa Kundur, Alessandro Neri 0001   +2 more
openaire   +1 more source

Ridgelet transform for quarternion-valued functions

International Journal of Wavelets, Multiresolution and Information Processing, 2016
Using the convolution of quaternion-valued functions on [Formula: see text], we define the ridgelet transform on square integrable quaternion-valued functions on [Formula: see text]. We also prove the properties of the ridgelet transform such as linearity, continuity, Parseval’s identity and inversion formula.
Lakshmanan Akila, Rajakumar Roopkumar
openaire   +2 more sources

Orthonormal Ridgelets and Linear Singularities

SIAM Journal on Mathematical Analysis, 2000
Summary: We construct a new orthonormal basis for \(L^2({\mathbb R}^2)\), whose elements are angularly integrated ridge functions -- \textit{orthonormal ridgelets}. The basis elements are smooth and of rapid decay in the spatial domain, and in the frequency domain are localized near angular wedges which, at radius \(r = 2^j\), have radial extent ...
openaire   +1 more source

BayesShrink Ridgelets for Image Denoising

2004
The wavelet transform has been employed as an efficient method in image denoising via wavelet thresholding and shrinkage. The ridgelet transform was recently introduced as an alternative to the wavelet representation of two dimensional signals and image data.
Nezamoddin Nezamoddini-Kachouie, Paul W. Fieguth, Ed Jernigan   +2 more
openaire   +1 more source

Ridgelet Methods for Linear Transport Equations

2015
In this paper we present an overview of a novel method for the numerical solution of linear transport equations, which is based on ridgelets and has been introduced in [12, 16]. Such equations arise for instance in radiative transfer or in phase contrast imaging.
Grohs Philipp, Obermeier Axel
openaire   +2 more sources

Incremental constructive ridgelet neural network

Neurocomputing, 2008
In this paper, a new kind of neural network is proposed by combining ridgelet with feedforward neural network (FNN). The network adopts ridgelet as the activation function in the hidden layer, and an incremental constructive method is employed to determine the structure of the network.
Shuyuan Yang 0001, Min Wang 0007, Licheng Jiao   +2 more
openaire   +1 more source

Fingerprint classification by Block Ridgelet and SVM

10th International Conference on Information Science, Signal Processing and their Applications (ISSPA 2010), 2010
The present article focuses on the classification of fingerprints. Our aim goal is to unify the process of fingerprint compression, classification and identification. The well known methods suited to these tasks are based on WSQ (Wavelet Scalar Quantization) for compression, Gabor filters for classification and minutiae matching for identification.
Amina Serir, Farida Bennabes
openaire   +1 more source