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CurveLab-1.0
- CurveLab 图象处理matlab工具箱，对信噪比较低情况下的边界处理有较好的处理效果-CurveLab Image Processing Toolbox Matlab, right lower signal-to-noise ratio of the border is better treatment effect
CurveLab-1.0
- curvelet工具包1.0版本，包含C的和matlab代码，很经典。
CurveLab-2.1.2.tar.这是curvelet工具包
- 这是curvelet工具包，目前最新的版本，是从网上搜集来的。,This is the curvelet Toolkit, the latest version of the current is collected from the Internet.
CurveLab-2.1.2
- curvelet变换最新工具包，含有快速离散曲波变换的所有形式（包括基于usfft和wrapping和3dfdct）。功能强大，是学习曲波变换的好帮手。-curvelet transform the latest kit, containing the fast discrete curvelet transform all forms (including those based on usfft and wrapping and 3dfdct). Powerful learning curv
CurveLab-1.0
- 好用的曲线小波程序！可用于图像处理和信息处理。采用matlab和Ｃ++混合编程，带有一些相关文献资料-Wavelet curve useful procedure! Can be used for image processing and information processing. Using matlab and C++ Mixed programming, with some relevant literature
CurveLab-2.1.2
- 小波库函数： Basictransformfunctions. fdct_xxx.m Cforwardcurvelettransform ifdct_xxx.m Cinversecurvelettransform afdct_xxx.m Cadjointcurvelettransform(onlyforUSFFT-basedtransformsincefo thewrappingtransform,theadjointisthesameastheinversetransform). fd
CurveLab-2.1.1
- curvelet工具包curvelab2.1.。 包含曲波变换、去噪、增强、复原等M文件以及mex文件。-curvelet tool box 2.1.1,including curvelet transform,denoising and so on
CurveLab-2.1.2
- 实现curvelet变换的软件包,包括curvelet变换,逆变换等功能-performing curvelet transform and inverse transform
CurveLab-2.1.3.rar
- 最新的曲波变换工具包，既有matlab原程序，也有c源程序。 ,The curvelet transform Toolkit, the the to both matlab original program, c source.
CurveLab-2.1.3
- 可用于曲波变换的工具箱，用于含噪声的图像的去噪过程,图像分解，有例子可直接运行。只可用于学术研究目的。-the Latest curvelet transform lab tool ，Non-commercial research use for Academics. Image decomposition, there are examples can be run directly.
curvelab2.1.1
- curvelab 2.1.1 包含C++以及matlab程序-curvelab 2.1.1 containing cpp & matlab
CurveLab-2.1.3
- 这是小波-曲波的算法，相对小波变换，曲波变换具有很大的进步，在线和面奇异性方面的检测性能优异-This is a wavelet- Qu Bo algorithms, relative wavelet transform, Qu Bo transform has made great progress, both online and face detection performance is excellent in terms of singularity
CurveLab-2.1
- transform into curvelet domain