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Description: curvelet lab,其中包括curvelets的matlab工具箱以及C语言开发
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Size: 788463 |
Author: tangwen |
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Description: 基于matlab环境的开发，利用curvelet进行去噪-Matlab-based development environment, using curvelet Denoising
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Size: 1024 |
Author: huang |
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Description: curvelet lab,其中包括curvelets的matlab工具箱以及C语言开发-curvelet lab, including the matlab toolbox curvelets as well as the C language development
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Size: 788480 |
Author: tangwen |
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Description: Edge detection in microscopy images using curvelets
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Size: 134144 |
Author: Pitaya |
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Description: Edge detection in microscopy images using curvelets
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Size: 1765376 |
Author: Pitaya |
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Description: If we did the computations correctly, then:
Wavelets approximate (these) \natural images"
better than curvelets do.
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Size: 55296 |
Author: Swati |
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Description: This paper identifies a novel feature space to
address the problem of human face recognition from
still images. This based on the PCA space of the
features extracted by a new multiresolution analysis
tool called Fast Discrete Curvelet Transform. Curvelet
Transform has better directional and edge
representation abilities than widely used wavelet
transform. Inspired by these attractive attributes of
curvelets, we introduce the idea of decomposing
images into its curvelet subbands and applying PCA
(Principal Component Analysis) on the selected
subbands in order to create a representative feature
set. Experiments have been designed for both single
and multiple training images per subject. A
comparative study with wavelet-based and traditional
PCA techniques is also presented. High accuracy rate
achieved by the proposed method for two well-known
databases indicates the potential of this curvelet based
feature extraction method.-This paper identifies a novel feature space to
address the problem of human face recognition from
still images. This is based on the PCA space of the
features extracted by a new multiresolution analysis
tool called Fast Discrete Curvelet Transform. Curvelet
Transform has better directional and edge
representation abilities than widely used wavelet
transform. Inspired by these attractive attributes of
curvelets, we introduce the idea of decomposing
images into its curvelet subbands and applying PCA
(Principal Component Analysis) on the selected
subbands in order to create a representative feature
set. Experiments have been designed for both single
and multiple training images per subject. A
comparative study with wavelet-based and traditional
PCA techniques is also presented. High accuracy rate
achieved by the proposed method for two well-known
databases indicates the potential of this curvelet based
feature extraction method.
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Size: 432128 |
Author: Swati |
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Description: 地震合成记录的wavelets, contourlets and curvelets比较分析。本文不仅论述了三种方法的原理，而且提出一种联合方法，并且应用于地震信号处理-Synthetic seismic record wavelets, contourlets and curvelets comparative analysis. This article discusses the three methods is not only the principle and proposed a joint approach, and applied to seismic signal processing
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Size: 257024 |
Author: 单昊 |
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Description: we present the first 3D discrete curvelet transform. This transform is an extension to the 2D
transform described in Cand`es et al..1 The resulting curvelet frame preserves the important properties, such
as parabolic scaling, tightness and sparse representation for singularities of codimension one. We describe three
different implementations: in-core, out-of-core and MPI-based parallel implementations. Numerical results verify
the desired properties of the 3D curvelets and demonstrate the efficiency of our implementations.
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Size: 761856 |
Author: cui |
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Description: curvelet工具箱可对图像进行曲波变换，提取图像边缘，对图像进行去噪，增强等处理。-curvelet toolbox for extracting the edge of image and enhance the noise of image.
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Size: 826368 |
Author: 高天博 |
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Description: This paper describes two digital implementations of a new mathematical transform, namely,
the second generation curvelet transform [12, 10] in two and three dimensions. The first digital
transformation is based on unequally-spaced fast Fourier transforms (USFFT) while the second is
based on the wrapping of specially selected Fourier samples. The two implementations essentially
differ by the choice of spatial grid used to translate curvelets at each scale and angle. Both
digitaltransformations return a table of digital curvelet coefficients indexed by a scale
parameter, anorientation parameter, and a spatial location parameter. And both implementations are
fast in
the sense that they run in O(n2 log n) flops for n by n Cartesian arrays in addition, they are
also invertible, with rapid inversion algorithms of about the same complexity.-This paper describes two digital implementations of a new mathematical transform, namely,
the second generation curvelet transform [12, 10] in two and three dimensions. The first digital
transformation is based on unequally-spaced fast Fourier transforms (USFFT) while the second is
based on the wrapping of specially selected Fourier samples. The two implementations essentially
differ by the choice of spatial grid used to translate curvelets at each scale and angle. Both
digitaltransformations return a table of digital curvelet coefficients indexed by a scale
parameter, anorientation parameter, and a spatial location parameter. And both implementations are
fast in
the sense that they run in O(n2 log n) flops for n by n Cartesian arrays in addition, they are
also invertible, with rapid inversion algorithms of about the same complexity.
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Size: 1190912 |
Author: wang |
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Description: Denosing image using curvelets transform
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Size: 375808 |
Author: Luc |
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Description: Curvelet transform in super resolution
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Size: 176128 |
Author: Luc |
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Description: A new document about curvelets transform and super resolution
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Size: 495616 |
Author: Luc |
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Description: CurveLab is a collection of Matlab and C++ programs for the Fast Discrete Curvelet
Transform in two and three dimensions.
For the 2d curvelet transform, the software package includes two distinct implementations:
the wrapping-based transform and the transform using unequally-spaced fast Fourier trans-
form (USFFT). Both variants are based on the Curvelet transform as described in ‘New
Tight Frames of Curvelets and Optimal Representations of Objects with Piecewise C2Sin-
gularities’, Comm. Pure Appl. Math. 57 (2004) 219-266. The implementation is also
discussed in detail in ‘Fast Discrete Curvelet Transforms’, Multiscale Model. Simul. 5
(2006), no. 3, 861-899. We advise users to become familiar with these references.
The two implementations diff er by the choice of spatial grid used to translate curvelets at
each scale and angle.-CurveLab is a collection of Matlab and C++ programs for the Fast Discrete Curvelet Transform in two and three dimensions. For the 2d curvelet transform, the software package includes two distinct implementations: the wrapping-based transform and the transform using unequally-spaced fast Fourier trans- form (USFFT). Both variants are based on the Curvelet transform as described in ' New Tight Frames of Curvelets and Optimal Representations of Objects with Piecewise C2Sin-gularities' , Comm. Pure Appl. Math. 57 (2004) 219-266. The implementation is also discussed in detail in ' Fast Discrete Curvelet Transforms' , Multiscale Model. Simul. 5 (2006), no. 3, 861-899. We advise users to become familiar with these references. The two implementations differ by the choice of spatial grid used to translate curvelets at each scale and angle.
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Size: 834560 |
Author: jiang |
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Description: Face recognition based on curvelets and local binary pattern features
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Size: 1545216 |
Author: zhaiyunlong |
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Description: A comparative study in wavelets, curvelets and contourlets as denoising biomedical images
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Size: 3686400 |
Author: wang |
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Description: Pyramidal directional filter banks and curvelets
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Size: 222208 |
Author: xiaowang |
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