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.