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%% Computes multiscale representation of a hyperspectral image.
%% Requires the TT-toolbox to be installed
clc; clf; clear all; close all
levels = 8;
d = 3;
n = 2^(levels-1);
info = read_envihdr('samson/Samson/SAMSON.hdr');
A = multibandread('samson/Samson/SAMSON.bil', info.size, [info.format '=>double'], info.header_offset, info.interleave, info.machine);
A_orig = A;
%%
Ause = A(1:896, 1:896, 1:n);
disp('loaded data')
A = tt_tensor(Ause)
disp('converted TT')
%%
clf
rank_tol = 1e-6;
maxiter = 20;%100;%maximum number of iterations
conv_tol = 1e-6;
scale_ranks = 20:18:200;%20:10:100;%maximum TT-rank for each scale
%errors
error_multi = zeros(length(scale_ranks),1);
error_TT = zeros(length(scale_ranks),1);
%storage costs
storage_multi = zeros(length(scale_ranks),1);
storage_TT = zeros(length(scale_ranks),1);
%computation times
times_multi = zeros(length(scale_ranks),1);
times_TT = zeros(length(scale_ranks),1);
for sind = 1:length(scale_ranks)
scale_rank = scale_ranks(sind)
warning('off')
m = levels;
levels_to_use = (levels-m+1):levels;
rank_list = [zeros(levels-m,1); scale_rank*ones(m,1)];
%compute the multiscale representation
tic
res2 = iterate_multiscale_TT(A, levels, levels_to_use, maxiter, rank_list, conv_tol, 0);
t1 = toc;
times_multi(sind) = t1;
%convert to full tensor to check accuracy
A1 = res2{1};
for k = 2:levels
A1 = downscale_TT(A1) + res2{k};
end
toc
%compare to tensor-train representation
tic
Adirect = (round(A,1e-16, ceil(0.95*sqrt(2)*scale_rank)));
t1 = toc;
times_TT(sind) = t1;
%compute accuracies
error_multi(sind) = norm(A-A1)/norm(A);
error_TT(sind) = norm(A-Adirect)/norm(A);
%compute storage-costs
st = 0;
for k = 1:levels
st = st + storage_size_osel(round(res2{k}, 1e-16));
end
%plot during loop
storage_multi(sind) = st;
storage_TT(sind) = storage_size_osel(Adirect);
figure(1)
hold on
plot(error_multi, numel(Ause)./storage_multi, '*-b')
plot(error_TT, numel(Ause)./storage_TT, '*-r')
end
%%
%plot results
clf
figure(1)
semilogy(error_multi, numel(Ause)./storage_multi, '*-b')
hold on
semilogy(error_TT, numel(Ause)./storage_TT, 's-r')
set(gca,...
'FontUnits','points',...
'FontSize',24,...
'TickLabelInterpreter','latex',...
'FontName','Times')
xlabel('Relative error',...
'FontUnits','points',...
'interpreter','latex',...
'FontSize',24,...
'FontName','Times')
ylim([0.8, 100])
ylabel('Compression ratio',...
'FontUnits','points',...
'interpreter','latex',...
'FontSize',24,...
'FontName','Times')
grid()
legend({'Multiscale', 'Tensor-train','$g:$ TR-format'},...
'location', 'NorthWest',...
'FontUnits','points',...
'interpreter','latex',...
'FontSize',24,...
'FontName','Times')
pbaspect([2 1 1])
% print -dpdf samson_storageM200_larger.pdf
%%
clf
figure(2)
plot(error_multi, times_multi./(maxiter), '>:', 'Color', [0.6350 0.0780 0.1840])
hold on
plot(error_TT, times_TT, '<-.', 'Color',[0 0.4470 0.7410])
set(gca,...
'FontUnits','points',...
'FontSize',24,...
'TickLabelInterpreter','latex',...
'FontName','Times')
xlabel('Relative error',...
'FontUnits','points',...
'interpreter','latex',...
'FontSize',24,...
'FontName','Times')
ylabel('Time (s)',...
'FontUnits','points',...
'interpreter','latex',...
'FontSize',24,...
'FontName','Times')
grid()
legend({'Multiscale/iteration', 'Tensor-train'},...
'location', 'NorthEast',...
'interpreter','latex',...
'FontSize',24,...
'FontName','Times')
pbaspect([2 1 1])
% print -dpdf samson_timeM200_larger.pdf