Results 31 to 40 of about 5,665 (212)
Deconvolution based on the curvelet transform [PDF]
This paper describes a new deconvolution algorithm, based on both the wavelet transform and the curvelet transform. It extends previous results which were obtained for the denoising problem. Using these two different transformations in the same algorithm allows us to optimally detect in the same time isotropic features, well represented by the wavelet ...
Nguyen, Mai K. +2 more
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Curvelets and Curvilinear Integrals
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Emmanuel J. Candès, David L. Donoho
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Fusion of WorldView2 images using Contourlet, Curvelet and Ridgelet transforms for edge enhancement
Este artículo se discute la aplicación de tres transformadas, a saber, Contourlet, Curvelet y Ridgelet, que están destinadas a la mejora de bordes en una imagen, las cuales se aplicaron a las imágenes de satélite Worldview 2 fusionadas.
Giselle Helena Toro-Garay +1 more
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Personal recognition using finger knuckle shape oriented features and texture analysis
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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Synthetic Aperture Radar Image Clustering with Curvelet Subband Gauss Distribution Parameters
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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Novel Adaptive Sparse-Spike Deconvolution Bearing Fault Detection Method Based on Curvelet Transform
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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The proliferation of large seismic arrays have opened many new avenues of geophysical research; however, most techniques still fundamentally treat regional and global scale seismic networks as a collection of individual time-series rather than as a ...
J. Muir, Z. Zhan
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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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Compactly Supported Curvelet-Type Systems
We study a flexible method for constructing curvelet-type frames. These curvelet-type systems have the same sparse representation properties as curvelets for appropriate classes of smooth functions, and the flexibility of the method allows us to give a ...
Kenneth N. Rasmussen, Morten Nielsen
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Curvelet Denoising of 4D Seismic [PDF]
With burgeoning world demand and a limited rate of discovery of new reserves, there is increasing impetus upon the industry to optimize recovery from already existing fields. 4D, or time-lapse, seismic imaging is an emerging technology that holds great promise to better monitor and optimise reservoir production. The basic idea behind 4D seismic is that
Bayreuther, Moritz +2 more
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