📄 cp6_2.m
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%%%%%%%%%%% Comprehensive Problem 6.2 %%%%%%%%%%%
% Discrete-Time Control Problems using %
% MATLAB and the Control System Toolbox %
% by J.H. Chow, D.K. Frederick, & N.W. Chbat %
% Brooks/Cole Publishing Company %
% September 2002 %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% ---- 2D deblurring ----
while(0)
load clown
figure, colormap(map), image(X)
% make an image by shifting 10 pixels left and up
[nrow,ncol] = size(X);
Y = zeros(nrow,ncol);
n=10;
Y(1:nrow-n,1:ncol-n)=X(n+1:nrow,n+1:ncol);
Z=X+0.3*Y; % create a double image of clown
figure, colormap(map), image(Z)
save clownb Z map
end
load clown X map
figure, colormap(map), image(X)
title('Original image')
disp('Original clown image')
disp('******>'), pause
load clownb Z map
figure, colormap(map), image(Z)
title('Blurred image')
disp('Blurred clown image')
disp('******>'), pause
[nrow,ncol] = size(Z); n = 10;
% one-term FIR correction
U = zeros(nrow,ncol);
U(1:nrow-n,1:ncol-n)=Z(n+1:nrow,n+1:ncol);
W = Z - 0.3*U;
figure, colormap(map), image(W)
title('One-term correction')
disp('Deblurring blurred clown image using one correction term')
disp('******>'), pause
% two-term FIR correction
U = zeros(nrow,ncol);
U(1:nrow-2*n,1:ncol-2*n)=Z(2*n+1:nrow,2*n+1:ncol);
W = W + 0.09*U;
figure, colormap(map), image(W)
title('Two-term correction')
disp('Deblurring blurred clown image using two correction terms')
disp('******>'), pause
% three-term FIR correction
U = zeros(nrow,ncol);
U(1:nrow-3*n,1:ncol-3*n)=Z(3*n+1:nrow,3*n+1:ncol);
W = W - 0.027*U;
figure, colormap(map), image(W)
title('Three-term correction')
disp('Deblurring blurred clown image using three correction terms')
%%%%%%%%%%
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