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CurveLab1.0
- curvelet lab,其中包括curvelets的matlab工具箱以及C语言开发
gk_bmcb_2009
- Edge detection in microscopy images using curvelets
curvelet
- 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.
curveletutils
- Edge detection in microscopy images using curvelets
talk
- If we did the computations correctly, then: Wavelets approximate (these) \natural images" better than curvelets do.
MoAT7.1
- 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 Transfo
Comparisons_of_waveles_contourles_and_curvelets_in
- 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
CurveLab-2.0.tar
- 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
Fastdiscretecurvelettransforms
- 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 tr
DENOISING-OF-COMPUTER-TOMOGRAPHY-IMAGES-USING-CUR
- Denosing image using curvelets transform
Curvelets---Multiresolution-Representation--and-S
- Curvelet transform in super resolution
Motion-Analysis-of-Live-Objects-by-Super-Resoluti
- A new document about curvelets transform and super resolution
CurveLab-2.1.2
- 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 an
Face-recognition-curvelets-LBP
- Face recognition based on curvelets and local binary pattern features
paper2
- A comparative study in wavelets, curvelets and contourlets as denoising biomedical images
paper3
- Pyramidal directional filter banks and curvelets