Image denoising using wavelet transform
显示 更早的评论
>> 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.
1 个评论
RAVI AKULA
2021-7-11
Hiii bro please help me if don't mine please provide code for image denoising by dual complex wavelet transform
回答（2 个）
Sujey Avitia Zanabria
2020-2-3
编辑：David
2020-2-4
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
2 个评论
San Asf
2020-2-4
RAVI AKULA
2021-7-11
Hiii bro please help us please provide code for image denoising by using dual tree complex wavelet transform
类别
在 帮助中心 和 File Exchange 中查找有关 Wavelet Toolbox 的更多信息
2021-7-11
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!
Translated by 
