Results 121 to 130 of about 4,760 (175)
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Curvelet transform on the sphere
IEEE International Conference on Image Processing 2005, 2005Spherical maps occur in a range of applications for instance in geophysics or in astrophysics with the study of the cosmic microwave background (CMB) radiation field, where observations are over the whole sky. Analyzing these images requires specific tools.
Pierrick Abrial +3 more
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Unsupervised texture segmentation using monogenic curvelets and the Potts model
International Conference on Information Photonics, 2014 We present a method for the unsupervised segmentation of textured images using Potts functionals, which are a piecewise-constant variant of the Mumford and Shah functionals.
Andreas Weinmann +2 more
exaly +2 more sources
Comparisons of wavelets, contourlets and curvelets in seismic denoising
Journal of Applied Geophysics, 2009Huizhu Yang
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Seismic Imaging and Processing with Curvelets
69th EAGE Conference and Exhibition incorporating SPE EUROPEC 2007, 2007In this paper, we present a nonlinear curvelet-based sparsity-promoting formulation for three problems in seismic processing and imaging namely, seismic data regularization from data with large percentages of traces missing; seismic amplitude recovery for subsalt images obtained by reverse-time migration and primary-multiple separation, given an ...
Herrmann, Felix J. +2 more
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Wavelets, Ridgelets, and Curvelets for Poisson Noise Removal
IEEE Transactions on Image Processing, 2008 In order to denoise Poisson count data, we introduce a variance stabilizing transform (VST) applied on a filtered discrete Poisson process, yielding a near Gaussian process with asymptotic constant variance.
Jean-Luc Starck, Jalāl M Fadili
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Curvelet transform with adaptive tiling
SPIE Proceedings, 2012The curvelet transform is a recently introduced non-adaptive multi-scale transform that have gained popularity in the image processing field. In this paper, we study the effect of customized tiling of frequency content in the curvelet transform. Specifically, we investigate the effect of the size of the coarsest level and its relationship to denoising ...
Hasan Al-Marzouqi, Ghassan AlRegib
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The monogenic curvelet transform
2010 IEEE International Conference on Image Processing, 2010In this article, we reconsider the continuous curvelet transform from a signal processing point of view. We show that the analyzing elements of the curvelet transform, the curvelets, can be understood as analytic signals in the sense of the partial Hilbert transform.
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Uniform Discrete Curvelet Transform
IEEE Transactions on Signal Processing, 2010An implementation of the discrete curvelet transform is proposed in this work. The transform is based on and has the same order of complexity as the Fast Fourier Transform (FFT). The discrete curvelet functions are defined by a parameterized family of smooth windowed functions that satisfies two conditions: i) 2π periodic; ii) their squares form a ...
Truong T. Nguyen, Hervé Chauris
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Curvelet Transform Based Watermarking for Telemedicine
Wireless Personal Communications, 2021Now a days telemedicine is a proactive research area and gaining more engrossment. Digital transmission of medical imaging, remote evaluation and diagnosis together are termed as Telemedcine and it has increasingly gained prominence in the recent times.
Eswaraiah Rayachoti +2 more
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Searching for the optimal curvelet tiling
2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013Curvelets were recently introduced as a popular extension of wavelets. In the curvelet domain the input image is represented by sets of coefficients representing signal energy in different scales and angular directions. In this paper an algorithm that searches for optimal tilings for use with the curvelet transform is introduced.
Hasan Al-Marzouqi, Ghassan Alregib
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