搜索资源列表
CurveLab-2.0
- 完整的curvelet变换(2.0)实现-complete curvelet transform (2.0) Implementation
666bandelets_toolbox
- 多尺度第二代小波中的bandelet的变换。需要全部程序上网站。 http://lcd.siva.free.fr/where_is_the_starlet.html 里面有关于小波变换、Bandelet、Curvelet、等等，所有关于“let\"的都有了。而且给出了所有有关信息的链接，可节省相当的检索资料的时间。 -Multiscale second generation wavelet transform of the bandel
Fast_Discrete_Curvelet_Transform
- Fast Discrete Curvelet Transform有正反变换,各个程序里面的参数都有详细的说明.-Fast Discrete Curvelet Transform are pros and transform, inside the various parameters have detailed explanations.
PyCurvelab-1.0.tar
- PyCurvelab-1.0.tar,配合curvelet实用的-PyCurvelab - 1.0.tar cope with the practical curvelet
src
- 基于快速离散曲波变换（fast discrete curvelet transform)来处理3D 图像的matlab 程序。
fdct3d_mpi
- 基于快速离散曲波变换（fast discrete curvelet transform)来处理3D 图像的c++程序。
curvelet--ruanyuzhi
- 曲线波变换用于图像去噪可以很好的解决物体沿曲线边缘的特性，本算法采用软阈值对图像进行去噪，里面包含侧视图像和峰值信噪比-Curvelet transform for image denoising can solve problems well along the curve edge features, the algorithm used for image denoising threshold, which contains t
curvelet--banruanyuzhi
- 曲线波变换用于图像去噪可以很好的解决物体沿曲线边缘的特性，本算法采用半软阈值对图像进行去噪，里面包含侧视图像和峰值信噪比-Curvelet transform for image denoising can solve problems well along the curve edge features, the algorithm used for image denoising semi soft threshold, which
curvelet--zhezhongyuzhi
- 曲线波变换用于图像去噪可以很好的解决物体沿曲线边缘的特性，本算法采用硬软折中阈值对图像进行去噪，里面包含侧视图像和峰值信噪比-Curvelet transform for image denoising can solve problems well along the curve edge features, the algorithm uses the hard and soft compromise threshold for i
curvelet--xinfangfa
- 曲线波变换用于图像去噪可以很好的解决物体沿曲线边缘的特性，本算法采用改进阈值的一种新方法对图像进行去噪，里面包含侧视图像和峰值信噪比-Curvelet transform for image denoising can solve problems well along the curve edge features, the algorithm uses a new method to improve the threshold fo
curvelet-transform
- 使用curvelet变换的方法实现图像融合，此为matlab程序-curvelet transform image fusion
Curvelet-_Mat
- curvelet变换及其应用程序MATLAB版-curvelet transform and its application MATLAB version
Curvelet-Based-Nonlocal-Means-Denoising
- Recent journal AEU - International Journal of Electronics and Communications. In this paper, a curvelet based nonlocal means denoising method is proposed. -Recent journal AEU - International Journal of Electronics and C
curvelet
- curvelet算法源码,可以对图像弱小边缘进行检测，- curvelet algorithm source code
Curvelet
- Image fusion algorithm to fuse images different modalities based on the integration of Fast Discrete Curvelet Transform (FDCT) and the Singular Value Decomposition (SVD).The experimental results show that the proposed al
Image-Impaint-Based-on-Curvelet
- 基于Curvelet变换的样本块图像修复算法提高现有样本块修复算法性能。首先利用Curvelet 变换估计待修复图像的4方向特征．然后利用颜色信息与方向信息共同衡量样本块间的相似度，在此基础上构造颜色-方向结构稀疏度函数．-Based on the sample block transform image restoration algorithm Curvelet enhance existing sample block repai
curvelet_first_generation
- simulation of curvelet with matlab
CurveLab-2.1
- transform into curvelet domain
curvelet
- CUrevelt去噪自己编写的软硬阈值去噪，自适应阈值去噪(curvelet image denosiing)
curvelet软阈值
- 在matlab平台上，使用多尺度curvelet变换，对SAR图像的相干斑噪声进行抑制， 先将图像进行对数变换，把相干斑乘性噪声转换为加性噪声，然后使用一种有效的阈值去噪方法，很好的抑制了相干斑噪声，效果不错。(On the MATLAB platform, the multiscale curvelet transform is used to suppress the speckle noise of the SAR image.