高性能小波去噪源码程序 - matlab算法设计

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标题：高性能小波去噪源码程序
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所属分类: 算法设计资源类型：文件大小: 441.42 KB 上传时间: 2016-01-25 20:24:17 下载次数: 78 资源积分：1分提供者: xiaopeng2 高性能小波去噪源码程序

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高性能小波去噪源码程序，程序员在编程的过程中可以参考学习使用，希望对IT程序员有用，此源码程序简单易懂、方便阅读，有很好的学习价值！

clear all;clc

% Get Image File from the user

[FileName,PathName] = uigetfile(...

{'*.jpg;*.tif;*.png;*.gif','All Image Files';...

'*.*','All Files'},...

'Select Images','MultiSelect','off');

% Constructing FileName and FilePath for reading selected image

I = strcat(PathName,FileName);

RGB = imread(I); % Read Selected Image

% RGB = imread('football.jpg');

OI = preprocess(RGB); % Preprocess Seleted Image

% Get variance of noise from user

v = input('Enter variance of speckle noise = ');

NI = AddSpecNoise(OI,v);

% Applying Savitzky-Golay Filter on Noisy Image

B = sgolayfilt(NI,3,41,[],2);

% Applying Median Filter on Noisy Image

C = medfilt2(NI,[3 3]);

% Get level of wavelet decomposition from user

L = input('Enter level of wavelet decomposition = ');

% Compute Non-Decimated Two Dimensional Wavelet Transform

AI = ndwt2(OI,L,'db1');

BI = ndwt2(B,L,'db1');

CI = ndwt2(C,L,'db1');

% Applying Brute Force Threshold Algorithm for finding threshold

[threshtemp MSEtemp PSNRtemp] = bft(NI,AI,BI,CI,L,2,'try');

% Selecting best threshold value from previous BFT ouput which gives

% maximum PSNR as selecting for minimum MSE degrades the visual quality of

% image.

thresh = threshtemp(PSNRtemp==max(max(PSNRtemp)));

thresh = max(max(thresh));

% Applying Brute Force Threshold Algorithm for computing best result

[thresh MSE PSNR DI] = bft(NI,AI,BI,CI,L,2,'execute',thresh);

% Visualize Image

subplot(2,3,1);imshow(OI);title('Original Image');

subplot(2,3,2);imshow(NI);title('Speckled Image');

subplot(2,3,3);imshow(B);title('Savitzky-Golay Filetered Image');

subplot(2,3,4);imshow(C);title('Median Filetered Image');

subplot(2,3,5);imshow(DI);title('De-Speckled Image');

xlabel(['PSNR = ',num2str(PSNR),' dB',' ','MSE = ',num2str(MSE)]);

figure(2);

subplot(1,2,1);imshow(NI);title('Speckled Image');

subplot(1,2,2);imshow(DI);title('De-Speckled Image');

xlabel(['PSNR = ',num2str(PSNR),' dB',' ','MSE = ',num2str(MSE)]);

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