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clear; | |
load('cifar-10-batches-mat/data_batch_1.mat') | |
%% ======================================================================== | |
%% Step 1: Shrink tiny images | |
% Resize tiny images from 2D to 4D matrix | |
all_candidates = data; | |
all_candidates = reshape(all_candidates', 32, 32, 3, []); | |
all_candidates = permute(all_candidates, [2 1 3 4]); | |
all_candidates = im2double(all_candidates); | |
% Downsample tiny images | |
all_candidates = all_candidates(1:3:end, 1:3:end, :, :); | |
% all_candidates = all_candidates(1:5:end, 1:5:end, :, :); | |
% Size of a patch | |
tile_sz = size(all_candidates, 1); | |
%% ======================================================================== | |
%% Step 2: Shave off borders of input image | |
im_src = imread('sunset.jpg'); | |
src_height = size(im_src, 1) - mod(size(im_src, 1), tile_sz); | |
src_width = size(im_src, 2) - mod(size(im_src, 2), tile_sz); | |
%src_height = tile_sz * 50; | |
%src_width= tile_sz * 50; | |
im_src = im_src(1:src_height, 1:src_width, :); | |
im_src = im2double(im_src); | |
%% ======================================================================== | |
%% Step 3: Unroll input image patches and tiny images | |
% Unroll tiny images | |
num_candidates = 10000; | |
X = zeros([num_candidates, tile_sz * tile_sz * 3], 'like', all_candidates); | |
for i = 1 : num_candidates | |
X(i, :) = reshape(all_candidates(:, :, :, i), 1, []); | |
end | |
% Unroll input image patches | |
Y = zeros([src_height * src_width / tile_sz^2, tile_sz * tile_sz * 3], ... | |
'like', im_src); | |
y_ind = 1; | |
for j = 1 : tile_sz : src_height | |
for i = 1 : tile_sz : src_width | |
Y(y_ind, :) = reshape(... | |
im_src(j:j+tile_sz-1, i:i+tile_sz-1, :), ... | |
1, []); | |
y_ind = y_ind + 1; | |
end | |
end | |
%% ======================================================================== | |
%% Step 4: Run KNN | |
fprintf('Search neighbors of %i points from %i points\n', size(Y, 1), size(X, 1)); | |
search_inds = knnsearch(X, Y); | |
%% ======================================================================== | |
%% Step 5: Replace each patch in input image with its neighbor | |
im_dst = im_src; | |
y_ind = 1; | |
for j = 1 : tile_sz : src_height | |
for i = 1 : tile_sz : src_width | |
im_dst(j:j+tile_sz-1, i:i+tile_sz-1, :) = all_candidates(:, :, :, search_inds(y_ind)); | |
y_ind = y_ind + 1; | |
end | |
end | |
%% ======================================================================== | |
%% Display results | |
fprintf('%i images loaded\n', size(all_candidates, 4)); | |
figure; | |
montage(all_candidates(:, :, :, 1:100)); | |
figure; | |
subplot(121); imshow(im_src); title('Source'); | |
subplot(122); imshow(im_dst); title('Mosaic'); |
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