Results 31 to 40 of about 256 (167)

Curvelets and Ridgelets [PDF]

open access: yes, 2009
Glossary WT1D The one-dimensional Wavelet Transform as defined in [1]. See also [2] in this volume. WT2D The two-dimensional Wavelet Transform. Discrete Ridgelet Trasnform (DRT) The discrete implementation of the continuous Ridgelet transform. Fast Slant Stack (FSS) An algebraically exact Radon transform of data on a Cartesian grid.
Fadili, Jalal M., Starck, Jean-Luc
openaire   +3 more sources

Robust Watermarking Algorithm against the Geometric Attacks based on Non‐Subsampled Shearlet Transform and Harris‐Laplace Detector

open access: yesSecurity and Communication Networks, Volume 2022, Issue 1, 2022., 2022
With the rapid spread of network information, the information maintenance has become the focus of information security on networks. Digital watermarking is one of the effective methods to protect information security, achieve anticounterfeiting traceability, and protect copyright, and it is an important branch of information hiding technology. However,
Ling Zhou   +5 more
wiley   +1 more source

Fusion High-and-Low-Level Features via Ridgelet and Convolutional Neural Networks for Very High-Resolution Remote Sensing Imagery Classification

open access: yesIEEE Access, 2019
Ridgelet can theoretically approximate low-level image features, and the ridgelet filter is constructed independently of the training sample, but it usually requires to preset a lot of parameters to achieve an ideal representation of complex scenes ...
Zhifeng Zheng, Jiannong Cao
doaj   +1 more source

Clifford‐Valued Shearlet Transforms on Cl(P,Q)‐Algebras

open access: yesJournal of Mathematics, Volume 2022, Issue 1, 2022., 2022
The shearlet transform is a promising and powerful time‐frequency tool for analyzing nonstationary signals. In this article, we introduce a novel integral transform coined as the Clifford‐valued shearlet transform on Cl(p,q) algebras which is designed to represent Clifford‐valued signals at different scales, locations, and orientations. We investigated
Firdous A. Shah   +3 more
wiley   +1 more source

A Comparative Study among Handwritten Signature Verification Methods Using Machine Learning Techniques

open access: yesScientific Programming, Volume 2022, Issue 1, 2022., 2022
Nowadays, the verification of handwritten signatures has become an effective research field in computer vision as well as machine learning. Signature verification is naturally formulated as a machine‐learning task. This task is performed by determining if the signature is genuine or forged.
Zainab Hashim   +3 more
wiley   +1 more source

Image Resolution Enhancement of Highly Compressively Sensed CT/PET Signals

open access: yesAlgorithms, 2020
One of the most challenging aspects of medical modalities such as Computed Tomography (CT) as well hybrid techniques such as CT/PET (Computed Tomography/Positron emission tomography) and PET/MRI is finding a balance between examination time, radiation ...
Krzysztof Malczewski
doaj   +1 more source

Automatic eye blink artifact removal for EEG based on a sparse coding technique for assessing major mental disorders [PDF]

open access: yesJournal of Integrative Neuroscience, 2019
In the electroencephalogram recorded data are often confounded with artifacts, especially in the case of eye blinks. Different methods for artifact detection and removal are discussed in the literature, including automatic detection and removal. Here, an
Raheel Zafar, Abdul Qayyum, Wajid Mumtaz
doaj   +1 more source

MULTISPECTRAL IMAGE FUSION USING SLANTLET-BASED RIDGELET TRANSFORM

open access: yesJournal of Engineering, 2007
This paper introduces a new method in the multispectral image fusion based on ridgelet transform which represents edges better than wavelets. Since edges play a fundamental rule in image understanding, one good way to enhance spatial resolution is to ...
TARIQ ZEYAD ISMAEEL   +1 more
doaj   +1 more source

Blackbox-based model identification of solid oxide fuel cells by hybrid Ridgelet neural network and Enhanced Fish Migration Optimizer

open access: yesEnergy Reports, 2022
- An effective energy conversion tool is solid oxide fuel cell that converts chemical energy to heat and electricity by oxidant reactions and electrochemical fuel. Efficient modeling of this device can decrease the analyzing and design costs a lot. Thus,
Guihua Yang   +5 more
doaj   +1 more source

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