Results 131 to 140 of about 1,190 (173)

Seismic Imaging and Processing with Curvelets

69th EAGE Conference and Exhibition incorporating SPE EUROPEC 2007, 2007
In 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., Hennenfent, Gilles, Moghaddam, Peyman P.   +2 more
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The monogenic curvelet transform

2010 IEEE International Conference on Image Processing, 2010
In 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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Curvelet Transform Based Watermarking for Telemedicine

Wireless Personal Communications, 2021
Now 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, Sudhir Tirumalasetty, Silpa Chaitanya Prathipati   +2 more
openaire   +1 more source

Boon and Bane of Curvelet Transform

2010
Candes and Donoho introduced a new system of multiresolution analysis called the curvelet transform. Curvelets take the form of basis elements, which exhibit a very high directional sensitivity and are highly anisotropic. In this paper, we applied the curvelet transform, to generate Tamil OCR, to detect melanoma from microscopic images and to develop a
G. Geetha 0001, V. Ragavi, K. Thamizhchelvy, K. Mariappan, V. Lalitha 0004, S. Shanmuga Priya   +5 more
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Uniform Discrete Curvelet Transform

IEEE Transactions on Signal Processing, 2010
An 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
openaire   +2 more sources

Searching for the optimal curvelet tiling

2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013
Curvelets 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
openaire   +1 more source

Cartoon Approximation with α-Curvelets

2014
It is well-known that curvelets provide optimal approximations for so-called cartoon images which are defi ned as piecewise C2-functions, separated by a C2 singularity curve. In this paper, we consider the more general case of piecewise Cβ-functions, separated by a Cβ singularity curve for β (1;2].
Grohs, Philipp, Keiper, Sandra, Kutyniok, Gitta, Schäfer, Martin   +3 more
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Quaternionic curvelet transform

Optik, 2017
Abstract In this paper, we extend the continuous curvelet transform to the space of quaternion valued functions using convolution. We prove that the quaternionic curvelet transform is consistent with the continuous curvelet transform of complex valued functions.
L. Akila, R. Roopkumar
openaire   +1 more source

Seismic imaging in the curvelet domain and its implications for the curvelet design

SEG Technical Program Expanded Abstracts 2006, 2006
This paper is a first attempt towards the migration of seismic data in the curvelet domain for heterogeneous background velocity models. We first explain how to build a simple curvelet decomposition/reconstruction code, based on the use of Fast Fourier Transforms (FFTs).
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Curvelet Transform for Image Authentication

2006
In this paper, we propose a new image authentication algorithm using curvelet transform. In our algorithm, we apply ridgelet transform to each block which is subbanded from the image after wavelet transform. Experimental results demonstrate this algorithm has good property to localize tampering, and robust to JPEG ...
Jianping Shi, Zhengjun Zhai
openaire   +1 more source