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Code for denoising images. This code differs from standard wavelet denoising techniques in that it uses non-orthogonal wavelets, and unlike existing techniques, ensures that phase information is preserved in the image. Phase information is of crucial
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noisecomp.m Code for denoising images. This code differs from standard wavelet denoising techniques in that it uses non-orthogonal wavelets, and unlike existing techniques, ensures that phase information is preserved in the image. Phase information i
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利用小波变换进行图像去噪处理，包括各种软硬阈值的选取函数,Using Wavelet Transform for Image Denoising, including a variety of select hard and soft threshold function
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小波方法和偏微分方程方法是图像去噪中的主要方法。该文提出基于离散小波变换对图像进行阈值去噪，得出了小波阈值的偏微
分方程表示形式，在此基础上研究偏微分方程的解法，采用分数步的小波阈值方法对图像去噪，得到了较好的去噪效果，同时可以保护边
缘。数值试验结果表明，该方法具有比小波方法更好的去噪效果，能获得较高的信噪比-Wavelet method and partial differential equations is the main method of image denoising.
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1. 应用自适应中值滤波对图像进行去噪。
2. 根据直方图选择门限值。
3. 对图像中白色的部分应用区域生长法进行分割。
4. 对去噪的后的图像进行求反，然后对方形和三角形应用区域生长法分割。
-1. Application of adaptive median filter for image denoising. 2. According to the histogram selection threshold. 3. For the image in the white p
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基于阈值自适应的曲波图像去噪算法，实验结果表叫，它较原有算法更好地实现去除噪声与保护图像细节之间的平衡。-Threshold-based adaptive curvelet image denoising algorithm, called the results table, it better than the original algorithm to remove noise and to achieve a balance between preserving image detail
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程序使用说明：
1、软件应用平台：Matlab6.5或更高；
2、打开方法：
将文件所在目录设为工作目录，然后打开wavlet.fig,在noise提示框下输入噪声强度，在0-0.1之间（不能为零）。
然后点process按钮，就会显示实验结果，包括原图像，加噪图像，去噪图像的对比以及当前的psnr值。
wavlet.m是程序文件。
程序内容写在在程序的注释里。
阈值的更改没有实现可视化，在源程序中可以改。-Procedure for use: 1, Software
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用matlab软件对图像惊醒压缩去噪。分为软阈值去噪硬阈值去噪等-Woke up with matlab software for image compression denoising. Divided into soft threshold denoising hard threshold denoising
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自适应滤波方式实现图像的去噪 门限的中值去噪-Adaptive filtering method for image denoising threshold in the denoising
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应用matlab 对图像进行小波去噪 应用阈值法进行-Application of matlab wavelet image denoising threshold value method for application
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基于小波域的图形去噪matlab源代码-对应参考文献《Phase Preserving Denoising of Images》-Code for denoising images. This code differs from standard wavelet denoising techniques in that it uses non-orthogonal wavelets, and unlike existing techniques, ensures that phase infor
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运用Oust方法得到图像分割的阈值，用于图像去噪效果很好-Oust image segmentation method using a threshold for image denoising good effect
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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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小波变换用于图像去噪可以很好的解决物体的点奇异特性，本算法采用各种阈值函数对图像进行去噪，里面包含测试图像和峰值信噪比-Wavelet transform for image denoising can solve the body good point singularity, the algorithm used for image denoising threshold function, which contains the test image and the peak signal
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小波变换用于图像去噪可以很好的解决物体的点奇异特性，本算法采用软硬折中阈值函数对图像进行去噪，里面包含测试图像和峰值信噪比-Wavelet transform for image denoising can solve the body good point singularity, the algorithm used for image denoising between soft and hard threshold function, which contains the test im
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使用灰度图像对各种去噪方法进行测试，使用半软阈值方法对图像进行去噪，均值滤波方法进行去噪(对比用)，计算灰度图像的峰值信噪比。-Use grayscale images on a variety of methods of noise attenuation test, using a semi-soft threshold method for image denoising, denoising mean filtering method (Comparative), calculate t
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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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