Search - CURVELETS

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[Other resource] CurveLab1.0 DL : 0: curvelet lab,其中包括curvelets的matlab工具箱以及C语言开发
Update : 2008-10-13 Size : 769.98kb Publisher : tangwen
[2D Graphic] Curvelet DL : 0: 基于matlab环境的开发，利用curvelet进行去噪-Matlab-based development environment, using curvelet Denoising
Update : 2025-04-04 Size : 1kb Publisher : huang
[Wavelet] CurveLab1.0 DL : 0: 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
Update : 2025-04-04 Size : 770kb Publisher : tangwen
[Other] curveletutils DL : 0: Edge detection in microscopy images using curvelets
Update : 2025-04-04 Size : 131kb Publisher : Pitaya
[Graph program] gk_bmcb_2009 DL : 0: Edge detection in microscopy images using curvelets
Update : 2025-04-04 Size : 1.68mb Publisher : Pitaya
[Software Engineering] talk DL : 0: If we did the computations correctly, then: Wavelets approximate (these) \natural images" better than curvelets do.
Update : 2025-04-04 Size : 54kb Publisher : Swati
[Industry research] MoAT7.1 DL : 0: 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.
Update : 2025-04-04 Size : 422kb Publisher : Swati
[Software Engineering] Comparisons_of_waveles_contourles_and_curvelets_in DL : 0: 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
Update : 2025-04-04 Size : 251kb Publisher : 单昊
[Speech/Voice recognition/combine] CurveLab-2.0.tar DL : 0: 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.
Update : 2025-04-04 Size : 744kb Publisher : cui
[matlab] curvelet DL : 2: 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.
Update : 2025-04-04 Size : 807kb Publisher : 高天博
[matlab] Fastdiscretecurvelettransforms DL : 0: 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.
Update : 2025-04-04 Size : 1.14mb Publisher : wang
[Special Effects] DENOISING-OF-COMPUTER-TOMOGRAPHY-IMAGES-USING-CUR DL : 0: Denosing image using curvelets transform
Update : 2025-04-04 Size : 367kb Publisher : Luc
[Software Engineering] Curvelets---Multiresolution-Representation--and-S DL : 0: Curvelet transform in super resolution
Update : 2025-04-04 Size : 172kb Publisher : Luc
[Software Engineering] Motion-Analysis-of-Live-Objects-by-Super-Resoluti DL : 0: A new document about curvelets transform and super resolution
Update : 2025-04-04 Size : 484kb Publisher : Luc
[matlab] CurveLab-2.1.2 DL : 0: 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.
Update : 2025-04-04 Size : 815kb Publisher : jiang
[Special Effects] Face-recognition-curvelets-LBP DL : 0: Face recognition based on curvelets and local binary pattern features
Update : 2025-04-04 Size : 1.47mb Publisher : zhaiyunlong
[Graph program] paper2 DL : 0: A comparative study in wavelets, curvelets and contourlets as denoising biomedical images
Update : 2025-04-04 Size : 3.52mb Publisher : wang
[Special Effects] paper3 DL : 0: Pyramidal directional filter banks and curvelets
Update : 2025-04-04 Size : 217kb Publisher : xiaowang