www.gusucode.com > images 案例代码 matlab源码程序 > images/DeblurAnImageUsingBlindDeconvolutionExample.m
%% Deblur an Image Using Blind Deconvolution % %% % Create a sample image with noise. %% % Copyright 2015 The MathWorks, Inc. % Set the random number generator back to its default settings for % consistency in results. rng default; I = checkerboard(8); PSF = fspecial('gaussian',7,10); V = .0001; BlurredNoisy = imnoise(imfilter(I,PSF),'gaussian',0,V); %% % Create a weight array to specify which pixels are included in processing. %% WT = zeros(size(I)); WT(5:end-4,5:end-4) = 1; INITPSF = ones(size(PSF)); %% % Perform blind deconvolution. %% [J P] = deconvblind(BlurredNoisy,INITPSF,20,10*sqrt(V),WT); %% % Display the results. %% subplot(221);imshow(BlurredNoisy); title('A = Blurred and Noisy'); subplot(222);imshow(PSF,[]); title('True PSF'); subplot(223);imshow(J); title('Deblurred Image'); subplot(224);imshow(P,[]); title('Recovered PSF');