Description: 基于小波变换的随机噪声降噪的matlab 主要运用的方法有软阈值去噪法和硬阈值去噪法-Based on wavelet transform matlab random noise and noise reduction methods are mainly used soft thresholding method and hard thresholding method Platform: |
Size: 72704 |
Author:lisa |
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Description: 小波阈值去噪的各种方法研究，包括软硬阈值函数去噪，新的阈值函数去噪-Wavelet thresholding study various methods, including hard and soft threshold function de-noising, the new threshold function de-noising Platform: |
Size: 78848 |
Author:吴为 |
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Description: 利用小波进行硬阈值和软阈值去噪，将二者进行比较，并采用峰值信噪比评价图像质量，画出硬阈值和软阈值两种方法的峰值信噪比随噪声方差的变化曲线。-Using wavelet hard threshold and soft thresholding, we will compare the two and uate the image quality using a peak signal to noise ratio, change PSNR draw hard threshold and soft threshold of the two methods with noise variance curve. Platform: |
Size: 152576 |
Author:崔珊珊 |
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Description: 各种方法的去噪程序
den1.m 使用半软阈值方法对图像进行去噪
den1_5_1.m 半软阈值的改进方法 对第一层重构图像进行均值滤波
den1_9.m 半软阈值的改进方法 将线性衰减的函数改为指数的
den1_10.m 半软阈值的改进方法 对第一层的重构图像再次进行小波阈值去噪
den2.m 用软硬阈值函数的改进方法进行去噪
den3.m 用广义阈值函数进行去噪
den4.m 用自适应特征阈值函数进行去噪
wdenoise.m 用Donoho阈值或Birge-Massart策略及软阈值或硬阈值函数进行去噪
meanfilter.m 均值滤波方法进行去噪(对比用)
medfilter.m 中值滤波方法进行去噪(对比用)-Denoising procedures for various methods
Den1.m using semi soft threshold method for image denoising
The improved method of den1_5_1.m semi soft threshold for the first layer of the reconstructed image
The improved method of den1_9.m semi soft threshold will be changed linear to exponential.
The improved method of den1_10.m semi soft threshold for the first layer of the reconstructed image again for wavelet thresholding denoising
Den2.m using the soft and hard threshold function to improve the method of denoising
Den3.m using generalized threshold function for denoising
Den4.m with adaptive feature threshold function for denoising
Wdenoise.m with Donoho threshold or Birge-Massart strategy and soft threshold or hard threshold function for denoising
Meanfilter.m mean filtering method for denoising (contrast)
Medfilter.m median filtering method for denoising (contrast) Platform: |
Size: 641024 |
Author:李松 |
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Search - soft thresholding methods