Results 101 to 110 of about 258 (126)
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Cartoon Approximation with α-Curvelets
2014It 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 +3 more
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Boon and Bane of Curvelet Transform
2010Candes 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 +5 more
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Quaternionic curvelet transform
Optik, 2017Abstract 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
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Seismic imaging in the curvelet domain and its implications for the curvelet design
SEG Technical Program Expanded Abstracts 2006, 2006This 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 with learning-based tiling
Signal Processing: Image Communication, 2017Compact signal and image representations are of crucial importance in a variety of application areas. Wavelet and wavelet-like transforms typically divide the frequency plane in a systematic non-adaptive approach. In this paper, we propose a learning-based method for adapting frequency domain tiling using the curvelet transform as the basis algorithm ...
Hasan Al-Marzouqi, Ghassan AlRegib
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Curvelet Transform for Image Authentication
2006In 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
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Interior tomography with curvelet-based regularization
Journal of X-Ray Science and Technology, 2016The interior problem, i.e. reconstruction from local truncated projections in computed tomography (CT), is common in practical applications. However, its solution is non-unique in a general unconstrained setting. To solve the interior problem uniquely and stably, in recent years both the prior knowledge- and compressive sensing (CS)-based methods have ...
Liu, Baodong +2 more
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Quaternion Ridgelet Transform and Curvelet Transform
Advances in Applied Clifford Algebras, 2018The relationships between the Fourier, Radon, wavelet, ridgelet, curvelet transforms for real-valued functions have been extensively studied and are well known. The paper under review extends some of these relationships to quaternion-valued functions. A quaternion \(a\) can be represented as \[ a=a_0+a_1 i+a_2 j+a_3 k, \] with \[ ij=k,\; jk=i,\; ki=j,\;
Ma, Guangsheng, Zhao, Jiman
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TEXTURE CLASSIFICATION USING CURVELET TRANSFORM
International Journal of Wavelets, Multiresolution and Information Processing, 2007Texture classification has long been an important research topic in image processing. Nowadays classification based on wavelet transform is being very popular. Wavelets are very effective in representing objects with isolated point singularities, but failed to represent line singularities.
Arivazhagan Selvaraj +2 more
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Numeral recognition using curvelet transform
2008 IEEE/ACS International Conference on Computer Systems and Applications, 2008This paper proposes the performance of two new algorithms for digit recognition. These recognition systems are based on extracted features on the performance of image's curvelet transform & achieving standard deviation and entropy of curvelet coefficients matrix in different scales & various angels.
Farhad Mohamad Kazemi +3 more
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