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PAPER4
- The Curvelet Transform for Image Denoising
paper1
- Image denoising using curvelet transform an approach for edge preservation
CurveLab-2.1.1
- 曲波变换工具箱2.1.1版本，对二维和三维数据进行曲波变换（wrapping和usfft方式），在图像处理领域广泛利用-this package is a curvelet transform package, you can do the transform in wrapping or usfft for 2d or 3d image. it is widely used in image processing domain
fdct3d
- CurveLab is a collection of Matlab and C++ programs to compute fast discrete curvelet transform in two and three dimensions. The 2d software includes the implementations of two algorithms: the transform using wr
MCALabWithUtilities
- MCALab包含curvelet工具包，可用于curvelet分解及重构，以及一维与二维的信号分离等应用-MCALab contains curvelet toolkit for curvelet decomposition and reconstruction, as well as one-dimensional and two-dimensional applications such as signal separation
580671249demo
- curvelet transform code in matlab fr-curvelet transform code in matlab free
src
- 曲波变换的c++源码包，图像处理去噪效果很好-Curvelet transform c++ source package, image processing denoising effect is very good, there is a need to download
Infrared-Image-Enhancement
- 针对基于小波变换的红外图像增强方法视觉效果不够理想的缺点, 提出了一种基于平稳小波变换和Retinex 的红外图像增强方法, 利用Retinex 增强算法增强图像的视觉效果, 并改善其亮度均匀性。首先, 对红外图像经平稳小波变换后的最大尺度低频子带图像进行多尺度Retine x 增强 然后, 利用贝叶斯萎缩阈值法对高频子带图像进行阈值去噪, 并根据低频子带图像的局部对比度和模糊规则计算高频子带的增益系数, 从而得到增强后的高频子带图像
curvelet--transform
- 该文档是讲述关于曲波变换和脊波变换原理的-The document is about the principle of transformations and ridge wave transformation
CurveLab-2.1.3.tar
- 包含二维曲波变换、反变换；三维曲波变换；二维曲波变换(Including two-dimensional Qu Bo transform, inverse transform, 3D Qu Bo transform, and two-dimensional Qu Bo transform)
CurveLab-2.1.3.tar
- CurveLab is a toolbox implementing the Fast Discrete Curvelet Transform, both in Matlab and C++.
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- 4 基于曲波系数局部统计特性的图像去噪算法_汪祥莉(local statistical characteristics based on curvelet coefficient of _ Wang Xiangli image denoising algorithm)
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- 基于曲波系数局部统计特性的图像去噪算法_汪祥莉(local statistical characteristics based on curvelet coefficient of _ Wang Xiangli image denoising algorithm)
curvelet_denoising
- 主要用于地震数据处理中的噪声去除，采用曲波变换的方式去除地震记录中的噪声(mainly used for noise removal in seismic processing, curvelet transformation method will be used for denoising)
CurveLab-1.0
- 用于雷达波数据信号图像去噪，以curvelet变换实现数据去向分解，阈值去噪以及图像重构。(For radar wave data signal image denoising, curvelet transform is used to achieve data decomposition, threshold denoising and image reconstruction.)
CurveLab-2.0.1
- 一副图片经过曲波变换后，会有cell矩阵，可以利用cell矩阵做一些分析。(a image curvelet transform)
Sparse image and signal processing
- 这本书在稀疏的多尺度图像和信号处理提出了艺术状态，包括线性多尺度变换，如小波，脊波和曲波变换、非线性、多尺度变换基于中值和数学形态学算子。最近的稀疏性和形态多样性的概念描述和利用各种问题，如去噪，反问题正规化，稀疏信号分解，盲源分离，压缩感知。 这本书的理论和实践研究相结合的领域，如天文学、生物学、物理学、数字媒体应用和取证。最后一章探讨了信号处理中的一个范式转换，表明以前的信息取样和提取的限制可以用非常重要的方法加以克服。 MAT
dealias
- Curve变换进行数据重建的文章，用于地震数据的重建过程。(Curve transform is used for data reconstruction, which is used for reconstruction process of seismic data.)
CurveLab-2.1.1
- curvelab工具包将其加载到matlab路径中，可以方便的使用其中的函数(The curvelab toolkit helps you better use MATLAB software.)