Description: 小波去噪,利用小波系数在相邻尺度上的相关性关系,针对小波系数估计中硬阈值方法和软阈值方法的缺点,
通过对双重量收缩函数得到的阈值乘以一个合适系数进行修定的折衷方法,提出了一种新的小波域局部自适应去噪算法.实验结果表明,该方法既可以去除噪声,又可以较好地保留图像的高频细节特征.-Wavelet denoising using the wavelet coefficients in adjacent scales of the correlation relationship between the estimation of wavelet coefficients for the hard thresholding and soft thresholding shortcomings, through the contraction of the double weight of the threshold function has been multiplied by a suitable coefficient revised compromise, proposed a new wavelet-domain partially adaptive denoising algorithm. The experimental results show that the method can remove noise, also can be used to retain the details of the characteristics of high-frequency images. Platform: |
Size: 3072 |
Author:weiwei |
Hits:
Description: 此文件夹主要是在学习自适应语音小波阈值去噪中所查找的文献，其中论文包括自适应算法的介绍、语音小波自适应去噪、其他数字信号自适应小波阈值去噪。-This folder is the main voice in the learning adaptive wavelet threshold denoising in the search of the literature, which includes adaptive algorithm thesis presentation, voice, wavelet adaptive denoising, and other digital signal adaptive wavelet thresholding. Platform: |
Size: 2902016 |
Author:maning |
Hits:
Description: 文基于小波分析的特点，提出了一种对信号进行多重小波
变换的自适应去噪法，该方法不仅克服了小波去噪软硬阈值法的局限性，而且解决了自适应滤波中参考信号选取难的
问题，将该方法用于脉搏信号降噪，得到了满意的去噪效果。-The text features based on wavelet analysis, proposed an adaptive multi-wavelet transform for signal denoising method, this method not only overcomes the limitations of hard and soft thresholding method of wavelet de-noising, and resolve the reference signal adaptive filtering Select the difficult problem of the method is used to the noise of the pulse signal, and been satisfied with the denoising effect. Platform: |
Size: 6337536 |
Author:jw |
Hits:
Description: The code is for denoising using wavelet decomposition and reconstruction。 This is the implementation of paper "Efficient Image Denoising Method Based on a New Adaptive wavelet packet thresholding function" Platform: |
Size: 17408 |
Author:Jessie |
Hits:
Description: In this paper, a robust DWPT based adaptive bock algorithm with modified threshold for denoising the sounds of musical instruments is proposed. The signal is first segmented into multiple blocks depending upon the minimum mean square criteria in each block, and then thresholding methods are used for each block. All the blocks obtained after denoising the individual block are concatenated to get the final denoised signal. The discrete wavelet packet transform provides more coefficients than the conventional discrete wavelet transform (DWT), representing ad-ditional subtle detail of the signal but decision of optimal decomposition level is very important. Hence, the optimal wavelet and level of decomposition may be different for each signal. The obtained denoised signal with this algorithm is close to the original signal. -In this paper, a robust DWPT based adaptive bock algorithm with modified threshold for denoising the sounds of musical instruments is proposed. The signal is first segmented into multiple blocks depending upon the minimum mean square criteria in each block, and then thresholding methods are used for each block. All the blocks obtained after denoising the individual block are concatenated to get the final denoised signal. The discrete wavelet packet transform provides more coefficients than the conventional discrete wavelet transform (DWT), representing ad-ditional subtle detail of the signal but decision of optimal decomposition level is very important. Hence, the optimal wavelet and level of decomposition may be different for each signal. The obtained denoised signal with this algorithm is close to the original signal. Platform: |
Size: 227328 |
Author:noufan |
Hits:
Description: 我按这篇文章做的，广义高斯分布及其在图像去噪中的应用，没有完全做出来，谁做出来了，分享一下- The statistics of imagewavelet coefficients is non2Gaussian and can be described by generalized Gaussian
distribution (GGD). The paper investigates the issues of GGD statisticalmodel for wavelet coefficients in a sub2
band and the corresponding parameters estimation . A Bayesian estimate based subband adaptive thresholding de2
noising algorithm is designed, and the performance of noise reduction of this algorithm, compared with other clas2
sicalwavelet thresholding denoising methods, is discussed according to simulation results .
Keywords image wavelet coefficients generalized Gaussian distribution BayesShrink algorithm image de Platform: |
Size: 342016 |
Author:李胖子 |
Hits:
Description: 小波软阈值去噪，具有较高的SNR,是一种自适应阈值算法-Wavelet soft thresholding, has a high SNR, an adaptive threshold algorithm Platform: |
Size: 240640 |
Author:梁宇 |
Hits:
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 |
Hits:
Search - adaptive wavelet thresholding