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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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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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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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