MATLAB代做|FPGA代做|python代做-pocs算法的仿真

时间：2020-12-2 7:47:26 点击：

核心提示：MATLAB代做|FPGA代做|python代做-pocs算法的仿真...
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
% 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);

QQ ：1224848052

Tags:POCS算法

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