日志
pocs算法的仿真
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function y = pocs(s,delta_est,factor)
% POCS - reconstruct high resolution image using Projection On Convex Sets
% y = pocs(s,delta_est,factor)
% reconstruct an image with FACTOR times more pixels in both dimensions
% using Papoulis Gerchberg algorithm and using the shift and rotation
% information from DELTA_EST and PHI_EST
% in:
% s: images in cell array (s{1}, s{2},...)
% delta_est(i,Dy:Dx) estimated shifts in y and x
% factor: gives size of reconstructed image
%% -----------------------------------------------------------------------
% SUPERRESOLUTION - Graphical User Interface for Super-Resolution Imaging
% Copyright (C) 2005-2007 Laboratory of Audiovisual Communications (LCAV),
% Ecole Polytechnique Federale de Lausanne (EPFL),
% CH-1015 Lausanne, Switzerland
%
% This program is free software; you can redistribute it and/or modify it
% under the terms of the GNU General Public License as published by the
% Free Software Foundation; either version 2 of the License, or (at your
% option) any later version. This software is distributed in the hope that
% it will be useful, but without any warranty; without even the implied
% warranty of merchantability or fitness for a particular purpose.
% See the GNU General Public License for more details
% (enclosed in the file GPL).
%
% Latest modifications: August 20, 2006, by Karim Krichane
max_iter = 50;
temp = upsample(upsample(s{1}, factor)', factor)';
y = zeros(size(temp));
coord = find(temp);
y(coord) = temp(coord);
for i = 2:length(s)
temp = upsample(upsample(s{i}, factor)', factor)';
temp = shift(temp, round(delta_est(i, 2)*factor), round(delta_est(i, 1)*factor));
coord = find(temp);
y(coord) = temp(coord);
end
y_prev=y;
E=[];
iter=1;
blur =[.25 0 1 0 .25;...
0 1 2 1 0;...
1 2 4 2 1;...
0 1 2 1 0;...
.25 0 1 0 .25];
blur = blur / sum(blur(:));
wait_handle = waitbar(0, '重构中...', 'Name', '超分辨率重构');
while iter < max_iter
waitbar(min(4*iter/max_iter, 1), wait_handle);
y = imfilter(y, blur);
for i = length(s):-1:1
temp = upsample(upsample(s{i}, factor)', factor)';
temp = shift(temp, round(delta_est(i, 2)*factor), round(delta_est(i, 1)*factor));
coord = find(temp);
y(coord) = temp(coord);
end
delta= norm(y-y_prev)/norm(y);
E=[E; iter delta];
iter = iter+1;
if iter>3
if abs(E(iter-3,2)-delta) <1e-4
break
end
end
y_prev=y;
% if mod(iter,10)==2
% disp(['iteration ' int2str(E(iter-1,1)) ', error ' num2str(E(iter-1,2))])
% end
end
close(wait_handle);
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