Image denoising using wavelet transform

>> x=imread('2dimage.jfif');

figure,imshow(x)
an=imnoise(x,'gaussian');
figure,imshow(an)

>> [LL1,LH1,HL1,HH1]= dwt2(an,'haar');

figure(1)
subplot(2,2,1);imshow(LL1);title('LL1 band of image');
subplot(2,2,2);imshow(LH1);title('LH1 band of image');
subplot(2,2,3);imshow(HL1);title('HL1 band of image');
subplot(2,2,4);imshow(HH1);title('HH1 band of image');

This is my code for image denoising using wavelet transform. Now my problem is that how I'll perform second level approximation for decomposition and how apply BAYE'S THRESHOLDING on it. Plzzzz help me. I need it . THANKS in advance.

[RAVI AKULA]

Hiii bro please help me if don't mine please provide code for image denoising by dual complex wavelet transform

Answer 1

[San Asf]

image denoising using wavelet transform

Answer 2

[Sujey Avitia Zanabria]

I found this video https://www.youtube.com/watch?v=MrYYdMTKJ6c , the sigthresh code function is this:

function [T] = sigthresh(M, level, test_matrix)
%[a,b] = size(M);
%M is only HH band
C = 0.6745;
variance = (median(abs(M(:)))/C)^2;

beta = sqrt(log(length(M)/level));
T = beta*variance/std2(test_matrix);

end

[San Asf]

Thanks sujey avitia

[RAVI AKULA]

Hiii bro please help us please provide code for image denoising by using dual tree complex wavelet transform