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This directory includes matlab interface of the curvelet transform
using usfft.
Basic functions
fdct_usfft.m -- forward curvelet transform
afdct_usfft.m -- adjoint curvelet transform
ifdct_usfft.m -- inverse curvelet transform
fdct
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Curvelet变换进行图像去噪，Matlab7.0程序-Curvelet transform for image denoising, Matlab7.0 procedures
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曲波变换和小波变换的图像去噪算法的文章，还不错-Image Denoising Method Based on Curvelet and Wavelet Transform！！！
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基于Curvelet变换和全变差的图像去噪方法的论文，实验表明，该方法能有效地降低图像噪声，又尽町能地保留图像的细节-Curvelet transform and total variation based image denoising paper, experiments show that the method can effectively reduce the image noise, but also to make town to retain the image details
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基于快速离散曲波变换的图像去噪算法，该方法可以消除由于Curvelet变换缺乏平移
不变性而产生的图像失真，并且更好地利用曲波系数的相关性。-Fast discrete curvelet transform based image denoising algorithm, the method can eliminate the lack of translation invariance Curvelet transform arising from image distortion, a
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Curvelet transform for image denoising pdf
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一种基于USFFT的curvelet变换，论文中对于图像去噪算法有详细的描述。-Based USFFT the curvelet transform, a detailed descr iption of the paper for the image denoising algorithm.
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The Curvelet Transform for Image Denoising
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曲线波变换用于图像去噪，它最重要的一种方法就是二代曲线波变换，其重要的一种算法是基于二维非均匀空间抽样算法-Curvelet transform for image denoising, a method which is the most important of the two generation of curvelet transform, an algorithm which is important sampling algorithm based on two-dimensiona
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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，本算法基于USFFFT，可以更高效的进行去噪-Curvelet transform for image denoising can solve problems well along the curve edge features, the algorithm based on USFFFT, can be more efficient denoising
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第二代曲线波变换用于图像去噪时有两种算法，本程序包含这两种算法的工具箱-There are two curves of the second generation wavelet transform algorithm for image denoising time, the program includes two algorithms Toolbox
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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 adopts hard thresholding for image denoising, which contains the side view image a
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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 the side view image and peak si
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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 comprises a side view image a
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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 image denoising, which contains
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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 for image denoising, which conta
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The Curvelet Transform for Image Denoising
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Image denoising using curvelet transform an approach for edge preservation
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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.)
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