Results 21 to 30 of about 1,159 (170)
, 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
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Personal recognition using finger knuckle shape oriented features and texture analysis
Journal of King Saud University: Computer and Information Sciences, 2016 Finger knuckle print is considered as one of the emerging hand biometric traits due to its potentiality toward the identification of individuals. This paper contributes a new method for personal recognition using finger knuckle print based on two ...
K. Usha, M. Ezhilarasan
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Novel Adaptive Sparse-Spike Deconvolution Bearing Fault Detection Method Based on Curvelet Transform
IEEE Access, 2021 This paper has proposed a novel bearing fault detection method about adaptive Sparse-spike Deconvolution based on Curvelet Transform (CTSSD), where the novel technique about adaptive Sparse-spike Deconvolution names after ASSD.
Yanfeng Li +3 more
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Synthetic Aperture Radar Image Clustering with Curvelet Subband Gauss Distribution Parameters
Remote Sensing, 2014 Curvelet transform is a multidirectional multiscale transform that enables sparse representations for signals. Curvelet-based feature extraction for Synthetic Aperture Radar (SAR) naturally enables utilizing spatial locality; the use of curvelet-based ...
Erkan Uslu, Songul Albayrak
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Curvelets and Curvilinear Integrals
Journal of Approximation Theory, 2001 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Candès, Emmanuel J., Donoho, David L.
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Fusion of WorldView2 images using Contourlet, Curvelet and Ridgelet transforms for edge enhancement
Revista Facultad de Ingeniería Universidad de Antioquia, 2017 This article discusses the implementation of three transforms, namely Contourlet, Curvelet and Ridgelet, which are intended for image edge enhancement. These transforms were applied to fused Worldview 2 satellite images.
Giselle Helena Toro-Garay +1 more
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IEEE Signal Processing Magazine, 2010 Multiresolution methods are deeply related to image processing, biological and computer vision, and scientific computing. The curvelet transform is a multiscale directional transform that allows an almost optimal nonadaptive sparse representation of objects with edges.
Ma, Jianwei, Plonka, Gerlind
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Improved ECG Watermarking Technique Using Curvelet Transform
Sensors, 2020 Hiding data in electrocardiogram signals are a big challenge due to the embedded information that can hamper the accuracy of disease detection. On the other hand, hiding data into ECG signals provides more security for, and authenticity of, the patient’s
Lalit Mohan Goyal +6 more
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Curvelets and Fourier Integral Operators
Comptes Rendus. Mathématique, 2003 A recent body of work introduced new tight-frames of curvelets E. Candès, D. Donoho, in: (i) Curvelets – a suprisingly effective nonadaptive representation for objects with edges (A. Cohen, C. Rabut, L. Schumaker (Eds.)), Vanderbilt University Press, Nashville, 2000, pp.
Candès, Emmanuel, Demanet, Laurent
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Studying the Coefficient Curvelet for Aerial Image Segmentation [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 2020 Currently, there are many approaches for image transformations that are developed to cover the new technology in the huge amount of data treatment. In this paper, a study on Curvelet transformation coefficients was performed based on the aerial image to ...
Nagham Sultan, Khalil Alsaif
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