Results 61 to 70 of about 1,320 (180)
The curvelet transform for image denoising [PDF]
, 2002 We describe approximate digital implementations of two new mathematical transforms, namely, the ridgelet transform and the curvelet transform. Our implementations offer exact reconstruction, stability against perturbations, ease of implementation, and ...
Candès, Emmanuel J. +2 more
core +1 more source
A Note on Fractional Gabor Systems in L2(ℝ)
Journal of Function Spaces, Volume 2024, Issue 1, 2024.In this article, fractional Gabor frames in L2(ℝ) are defined and studied. Also, a finite linear combination of fractional Gabor frames for L2(ℝ) is discussed. It is proved that under certain conditions, a finite linear combination of fractional Gabor frames is a fractional Gabor frame for L2(ℝ).
Dolly Jain +3 more
wiley +1 more source
Blind image separation using pyramid technique
EURASIP Journal on Image and Video Processing, 2018 Signal and image separation is an important processing step for accurate image reconstruction, which is increasingly applied to many medical imaging applications and communication systems.
M. Y. Abbass, HyungWon Kim
doaj +1 more source
On the subexponentiality of the ridgelet transform
Comptes Rendus. Mathématique, 2014 We show that we can consider the ridgelet transform for Wiener functionals as a subexponential random variable. We give an application of this result to random walks.
openaire +1 more source
Ridgelet Transform Based on Reveillès Discrete Lines [PDF]
, 2002 In this paper we present a new discrete implementation of ridgelet transforms based on Reveilles discrete 2D lines. Ridgelet transforms are particular invertible wavelet transforms. Our approach uses the arithmetical thickness parameter of Reveilleslinesto adapt the Ridgelet transform to specific applications.We illustrate this with a denoising and a ...
Philippe Carré, Eric Andres
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Second-Generation Curvelets on the Sphere [PDF]
, 2016 Curvelets are efficient to represent highly anisotropic signal content, such as a local linear and curvilinear structure. First-generation curvelets on the sphere, however, suffered from blocking artefacts.
Chan, JYH +3 more
core +2 more sources
The aceToolbox: low-level audiovisual feature extraction for retrieval and classification [PDF]
, 2005 In this paper we present an overview of a software platform that has been developed within the aceMedia project, termed the aceToolbox, that provides global and local lowlevel feature extraction from audio-visual content.
Adamek, Tomasz +4 more
core +2 more sources
Systems and Soft ComputingThe development of telemedicine needs strong solutions to prevent manipulation of medical data while maintaining accurate diagnosis. Current watermarking methods aim to establish an effective compromise between robustness, imperceptibility, and payload ...
Ahmed Saïd Beggari +4 more
doaj +1 more source
Greedy Shallow Networks: An Approach for Constructing and Training Neural Networks [PDF]
, 1998 We present a greedy-based approach to construct an efficient single hidden layer neural network with the ReLU activation that approximates a target function.
Dereventsov, Anton +2 more
core +4 more sources
Source identification for mobile devices, based on wavelet transforms combined with sensor imperfections [PDF]
, 2013 One of the most relevant applications of digital image forensics is to accurately identify the device used for taking a given set of images, a problem called source identification.
A. L. Sandoval Orozco +14 more
core +1 more source