Description: 这是一个用小波软阈值去噪的原代码，用matlab编写。希望对大家有帮助。-This is a wavelet soft thresholding the original code, prepared using Matlab. We want to help. Platform: |
Size: 4780 |
Author:何忠 |
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Description: 这是一个用小波软阈值去噪的原代码，用matlab编写。希望对大家有帮助。-This is a wavelet soft thresholding the original code, prepared using Matlab. We want to help. Platform: |
Size: 4096 |
Author:何忠 |
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Description: This a wavelet soft thresholding the original code, prepared using Matlab. We want to help-This is a wavelet soft thresholding the original code, prepared using Matlab. We want to help Platform: |
Size: 4096 |
Author:nounou28 |
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Description: 小波阈值降噪的matlab代码 里面有两个程序 一个比较了软硬阈值去噪 另外一个对多层小波分解的阈值去噪做了对比-Wavelet threshold denoising matlab code there are two programs a relatively soft and hard thresholding is another multi-layer wavelet threshold denoising to do a comparison Platform: |
Size: 29696 |
Author:许凝 |
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Description:
Wavelet denoising
For using this code need to use signal toolbox and general toolbox in your matlab
In the first part of this assignment, we asked to obtain a (black-and-white) digital image of size
512 by 512 and then generate noisy image by adding a Gaussian noise but under the condition of
having SNR=20dB by select the suitable value of variance for Gaussian noise formula.
Second step is performing wavelet denoising using the hard thresholding (Use the db 6 for four
levels) in the condition of finding the optimal thresholding value of T in terms of the SNR obtained. It
means that, we should find the highest SNR value by finding the suitable value for threshold. Then we
asked to do the same process but this time using soft thresholding.
Finally for the last part of question one, we should compare the results of the obtained SNR
with the recommendations of 3*sigma for the hard thresholding and 3/2*sigma for the soft
thresholding.-
Wavelet denoising
For using this code need to use signal toolbox and general toolbox in your matlab
In the first part of this assignment, we asked to obtain a (black-and-white) digital image of size
512 by 512 and then generate noisy image by adding a Gaussian noise but under the condition of
having SNR=20dB by select the suitable value of variance for Gaussian noise formula.
Second step is performing wavelet denoising using the hard thresholding (Use the db 6 for four
levels) in the condition of finding the optimal thresholding value of T in terms of the SNR obtained. It
means that, we should find the highest SNR value by finding the suitable value for threshold. Then we
asked to do the same process but this time using soft thresholding.
Finally for the last part of question one, we should compare the results of the obtained SNR
with the recommendations of 3*sigma for the hard thresholding and 3/2*sigma for the soft
thresholding. Platform: |
Size: 91136 |
Author:jams1166 |
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Description: denoising matlab code there are two programs a relatively soft and hard thresholding is another multi-layer wavelet threshold denois Platform: |
Size: 1024 |
Author:alix |
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