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使用小波进行图像去噪的论文。
This paper proposes an adaptive threshold
estimation method for image denoising in the wavelet
domain based on the generalized Guassian
distribution (GGD) modeling of subband coefficients.
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小波图像去噪程序。th=sigma*sqrt(2*log10(L*T)) 计算阈值
ch=c(1,num(4-i,1):num(4-i,3)+step(4-i)-1) 对各高频系数进行阈值处理
chl=length(ch)
for j=1:chl
if abs(ch(j))>=th
ch(j)=sign(ch(j))*(abs(ch(j))-2*th/(1+exp(m*(ch(j)^2)))) 阈值处理函数
else
-Wavelet image denois
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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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基于遗传算法的图像去噪阈值分析研究的方法-Based on Genetic Algorithm for Image Denoising threshold method of analysis. . . .
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贝叶斯和通用阈值软阈值图像去噪方法MATLAB程序，希望对大家有帮助，仅供大家参考，希望有用-Bayesian and universal soft-threshold threshold Image Denoising MATLAB program, we want to help, only for your reference and hope be useful
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This paper proposes an adaptive threshold
estimation method for image denoising in the wavelet
domain based on the generalized Guassian
distribution (GGD) modeling of subband coefficients.
The proposed method called NormalShrink is
computat
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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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贝叶斯阈值方法实现图像去噪，对文献Chang.adaptive wavelet thresholding for image denoising and compression仿真结果。-Bayesian threshold method of image denoising。
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it will be useful for color image denoising and wavelet transform,,,,threshold value
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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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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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使用小波自适应阈值对图像进行去噪处理，可明显去除图像中的噪声。-Wavelet adaptive threshold for image denoising can significantly remove image noise.
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本程序是对图像进行去噪，其简单易行，很容易掌握其原理，已经经过实验验证，阈值估计采用贝叶斯进行-This program is for image denoising, which is simple, easy to grasp its principles, has been experimentally verified, the threshold be estimated using Bayesian
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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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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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本案例通过对图像加入高斯噪声，利用sym4小波函数对该图像和信号进行三级分解，用小波阀值去噪的方法对该图像进行去噪，并给出了仿真结果。-This case through join Gaussian noise image, use the sym4 wavelet decomposition of the image and signal, the wavelet threshold to filter method for the image denoising is presented,
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