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PatchMatch_LPE_uniform-1.m
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PatchMatch_LPE_uniform-1.m
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function [NNF, debug] = PatchMatch_LPE_uniform(targetImg_extent, sourceImg_extent,level,max_level, NNF_L,debug, psz)
%targetImg: A_extent
%sourceImg: B_extent
%level: matching A_extent{level} and B_extent{level}
%max_level: level number
%NNF_L, offset_L: 上一个尺度的信息
%get feature image in this level
targetImg=targetImg_extent{level};% m1*n1*12
sourceImg=sourceImg_extent{level};% m2*n2*12
% set psz to default
if (nargin<6); psz = 5; end
% % grayscale images only (TODO: extend to color images)
% if ~ismatrix(targetImg); targetImg = rgb2gray(targetImg); end
% if ~ismatrix(sourceImg); sourceImg = rgb2gray(sourceImg); end
targetImg = double(targetImg);% m1*n1*12
sourceImg = double(sourceImg);% m2*n2*12
%%%%%%%%%%%%%%%%%%%%
%-- Initialize NNF and Offset --%
%%%%%%%%%%%%%%%%%%%%
ssz = [size(sourceImg,1),size(sourceImg,2),size(sourceImg,3)];
tsz = [size(targetImg,1),size(targetImg,2),size(targetImg,3)];
if mod(psz,2)==1
w = (psz-1)/2;
else
error('psz must be odd.');
end
%the copy of target feature: 3D image
targetImg_NaN = nan(tsz(1)+2*w,tsz(2)+2*w,tsz(3));
for channel=1:tsz(3)
targetImg_NaN(1+w:tsz(1)+w,1+w:tsz(2)+w,channel) = targetImg(:,:,channel);
end
if level==max_level
%% NNF indices whose patches do not lap over outer range of images
% [m2*n2*2] 3D NNF
NNF = cat(3,...
randi([1+w,ssz(1)-w],[tsz(1),tsz(2),1]),...
randi([1+w,ssz(2)-w],[tsz(1),tsz(2),1])...
);
%%
% initialize offsets (what a redundant code...)
% need not calcurate offset in advance? => anyway, implement!
fprintf('Initalizing... ');
offsets = inf(tsz(1),tsz(2));% 2D Offset Field
for ii = 1:tsz(1)
for jj = 1:tsz(2)
%3D patch :feature Eular distance
ofs_ini = targetImg_NaN(w+ii-w:w+ii+w,w+jj-w:w+jj+w,:)...
- sourceImg(NNF(ii,jj,1)-w:NNF(ii,jj,1)+w,NNF(ii,jj,2)-w:NNF(ii,jj,2)+w,:);
ofs_ini = ofs_ini(~isnan(ofs_ini(:)));
offsets(ii,jj) = sum(ofs_ini.^2)/length(ofs_ini);
end
end
fprintf('Done.\n');
%%
debug.offsets_ini{level} = offsets;
debug.NNF_ini{level} = NNF;
else % using the upsample of the previous NNF
%% [m2*n2*2] 3D NNF
NNF =cat(3, zeros([tsz(1),tsz(2)]), zeros([tsz(1),tsz(2)]));
NNF(:,:,1)=min(max(floor(imresize(NNF_L(:,:,1),[tsz(1),tsz(2)],'bilinear')*2),w+1),size(sourceImg,1)-w);
NNF(:,:,2)=min(max(floor(imresize(NNF_L(:,:,2),[tsz(1),tsz(2)],'bilinear')*2),w+1),size(sourceImg,2)-w);
%%
offsets = inf(tsz(1),tsz(2));% 2D Offset Field
for ii = 1:tsz(1)
for jj = 1:tsz(2)
ofs_ini = targetImg_NaN(w+ii-w:w+ii+w,w+jj-w:w+jj+w , :)...
- sourceImg(NNF(ii,jj,1)-w:NNF(ii,jj,1)+w,NNF(ii,jj,2)-w:NNF(ii,jj,2)+w , :);
ofs_ini = ofs_ini(~isnan(ofs_ini(:)));
offsets(ii,jj) = sum(ofs_ini.^2)/length(ofs_ini);
end
end
fprintf('Done.\n');
%%
debug.offsets_ini{level} = offsets;
debug.NNF_ini{level} = NNF;
end
%%%%%%%%%%%%%%%%%%%%%%%%
%-- MAIN ITERATION --%
%%%%%%%%%%%%%%%%%%%%%%%%
max_iterations = 4;
radius = ssz(1)/4;
alpha = .5;
% min n s.t. r(alpha)^n < 1
% total_itr_rs = -floor(log(radius)/log(alpha));
Radius = round(radius*alpha.^(0:(-floor(log(radius)/log(alpha)))));
lenRad = length(Radius);
iteration=0;
T=25;%errorness detection
K=2;
debug.target_covered=zeros(tsz(1)+2*w,tsz(2)+2*w);
debug.source_used=zeros(ssz(1),ssz(2));
% for iteration = 1:max_iterations
while 1
%需要保证一直能找到match，(debug.source能一直平均增加）
if(sum(sum(debug.target_covered))/((tsz(1)+2*w)*(tsz(2)+2*w))<0.95)
iteration=iteration+1;
is_odd = mod(iteration,2)==1;
disp([num2str(sum(sum(debug.target_covered))/((tsz(1)+2*w)*(tsz(2)+2*w))),'th target patched covered']);
%% raster scan or reverse raster scan
if is_odd % odd
disp([num2str(iteration),'th iteration (raster scan order) start!.']);
ii_seq = 1:tsz(1); jj_seq = 1:tsz(2);
else % even
disp([num2str(iteration),'th iteration (reverse raster scan order) start!.']);
ii_seq = tsz(1):(-1):1; jj_seq = tsz(2):(-1):1;
end
fprintf('0%%----------100%%\n >'); % ten %s.
dispProgress = false(tsz(1)*tsz(2),1);
dispInterval = floor(tsz(1)*tsz(2)/10);
dispProgress(dispInterval:dispInterval:end) = true;
debug.dispProgress = dispProgress;
for ii = ii_seq
for jj = jj_seq
if(debug.target_covered(ii,jj)==0)
% TODO: if offset(ii,jj) is lower than predefined threshold, continue.
%%%%%%%%%%%%%%%%%%%%%
%-- Propagation --%
%%%%%%%%%%%%%%%%%%%%%
%% propagate from top and left
if is_odd %odd
% center, top, left
ofs_prp(1) = offsets(ii,jj);
ofs_prp(2) = offsets(max(1,ii-1),jj);
ofs_prp(3) = offsets(ii,max(1,jj-1));
[~,idx] = min(ofs_prp);
% propagate from top
switch idx
case 2
if NNF(ii-1,jj,1)+1+w<=ssz(1) && NNF(ii-1,jj,2)+w<=ssz(2)
% if idx==2 && NNF(ii-1,jj,1)+1+w<=ssz(1) && NNF(ii-1,jj,2)+w<=ssz(2)
if debug.source_used(NNF(ii-1,jj,1)+1,NNF(ii-1,jj,2))<K
NNF(ii,jj,:) = NNF(ii-1,jj,:);
NNF(ii,jj,1) = NNF(ii,jj,1)+1;
debug.source_used(NNF(ii,jj,1),NNF(ii,jj,2))= debug.source_used(NNF(ii,jj,1),NNF(ii,jj,2))+1;
tmp = targetImg_NaN(w+ii-w:w+ii+w,w+jj-w:w+jj+w , :)...
- sourceImg(NNF(ii,jj,1)-w:NNF(ii,jj,1)+w,NNF(ii,jj,2)-w:NNF(ii,jj,2)+w , :);
tmp = tmp(~isnan(tmp(:)));
offsets(ii,jj) = sum(tmp(:).^2)/length(tmp(:));
debug.target_covered(ii,jj)=1;
end
end
% propagate from left
case 3
% elseif idx==3 && NNF(ii,jj-1,1)<=ssz(1) && NNF(ii,jj-1,2)+1+w<=ssz(2)
if NNF(ii,jj-1,1)<=ssz(1) && NNF(ii,jj-1,2)+1+w<=ssz(2)
if debug.source_used(NNF(ii,jj-1,1),NNF(ii,jj-1,2)+1)<K
NNF(ii,jj,:) = NNF(ii,jj-1,:);
NNF(ii,jj,2) = NNF(ii,jj,2)+1;
debug.source_used(NNF(ii,jj,1),NNF(ii,jj,2))= debug.source_used(NNF(ii,jj,1),NNF(ii,jj,2))+1;
tmp = targetImg_NaN(w+ii-w:w+ii+w,w+jj-w:w+jj+w , :)...
- sourceImg(NNF(ii,jj,1)-w:NNF(ii,jj,1)+w,NNF(ii,jj,2)-w:NNF(ii,jj,2)+w , :);
tmp = tmp(~isnan(tmp(:)));
offsets(ii,jj) = sum(tmp(:).^2)/length(tmp(:));
debug.target_covered(ii,jj)=1;
end
end
end
%% propagate from bottom and right
else %even
% center, bottom, right
ofs_prp(1) = offsets(ii,jj);
ofs_prp(2) = offsets(min(ii+1,tsz(1)),jj);
ofs_prp(3) = offsets(ii,min(jj+1,tsz(2)));
[~,idx] = min(ofs_prp);
% propagate from bottom
switch idx
case 2
if idx==2 && NNF(ii+1,jj,1)-1-w>=1 && NNF(ii+1,jj,2)-w>=1
% if idx==2 && NNF(ii+1,jj,1)-1-w>=1 && NNF(ii+1,jj,2)-w>=1
if debug.source_used(NNF(ii+1,jj,1)-1,NNF(ii+1,jj,2))<K
NNF(ii,jj,:) = NNF(ii+1,jj,:);
NNF(ii,jj,1) = NNF(ii,jj,1)-1;
debug.source_used(NNF(ii,jj,1),NNF(ii,jj,2))= debug.source_used(NNF(ii,jj,1),NNF(ii,jj,2))+1;
tmp = targetImg_NaN(w+ii-w:w+ii+w,w+jj-w:w+jj+w , :)...
- sourceImg(NNF(ii,jj,1)-w:NNF(ii,jj,1)+w,NNF(ii,jj,2)-w:NNF(ii,jj,2)+w , :);
tmp = tmp(~isnan(tmp(:)));
offsets(ii,jj) = sum(tmp(:).^2)/length(tmp(:));
debug.target_covered(ii,jj)=1;
end
end
% propagate from right
case 3
if idx==3 && NNF(ii,jj+1,1)-w>=1 && NNF(ii,jj+1,2)-1-w>=1
% elseif idx==3 && NNF(ii,jj+1,1)-w>=1 && NNF(ii,jj+1,2)-1-w>=1
if debug.source_used(NNF(ii,jj+1,1),NNF(ii,jj+1,2)-1)<K
NNF(ii,jj,:) = NNF(ii,jj+1,:);
NNF(ii,jj,2) = NNF(ii,jj,2)-1;
debug.source_used(NNF(ii,jj,1),NNF(ii,jj,2))= debug.source_used(NNF(ii,jj,1),NNF(ii,jj,2))+1;
tmp = targetImg_NaN(w+ii-w:w+ii+w,w+jj-w:w+jj+w , :)...
- sourceImg(NNF(ii,jj,1)-w:NNF(ii,jj,1)+w,NNF(ii,jj,2)-w:NNF(ii,jj,2)+w , :);
tmp = tmp(~isnan(tmp(:)));
offsets(ii,jj) = sum(tmp(:).^2)/length(tmp(:));
debug.target_covered(ii,jj)=1;
end
end
end
end
%%%%%%%%%%%%%%%%%%%%%%
%-- RandomSearch --%
%%%%%%%%%%%%%%%%%%%%%%
iis_min = max(1+w,NNF(ii,jj,1)-Radius(:));
iis_max = min(NNF(ii,jj,1)+Radius(:),ssz(1)-w);
jjs_min = max(1+w,NNF(ii,jj,2)-Radius(:));
jjs_max = min(NNF(ii,jj,2)+Radius(:),ssz(2)-w);
iis = floor(rand(lenRad,1).*(iis_max(:)-iis_min(:)+1)) + iis_min(:);
jjs = floor(rand(lenRad,1).*(jjs_max(:)-jjs_min(:)+1)) + jjs_min(:);
nns(:,1) = NNF(ii,jj,:);
nns(:,2:lenRad+1) = [iis';jjs'];
ofs_rs(1) = offsets(ii,jj);
for itr_rs = 1:lenRad
tmp1 = targetImg_NaN(w+ii-w:w+ii+w,w+jj-w:w+jj+w , :)...
- sourceImg(iis(itr_rs)-w:iis(itr_rs)+w,jjs(itr_rs)-w:jjs(itr_rs)+w , :);
tmp2 = tmp1(~isnan(tmp1(:)));
ofs_rs(itr_rs+1) = sum(tmp2.^2)/length(tmp2);
end
[~,idx] = min(ofs_rs);
time=0;
while time<=4%10 次·，每次随机选择lenRad个（没use过的SourcePatch+offset小于阈值的，进行替换）
if debug.source_used(nns(1,idx),nns(2,idx))<K && ofs_rs(idx)<=T
offsets(ii,jj) = ofs_rs(idx);
NNF(ii,jj,:) = nns(:,idx);
debug.source_used(NNF(ii,jj,1),NNF(ii,jj,2))= debug.source_used(NNF(ii,jj,1),NNF(ii,jj,2))+1;
debug.target_covered(ii,jj)=1;
break;
else
time=time+1;
% disp([num2str(ii),num2str(jj),' do random selection again']);
iis = floor(rand(lenRad,1).*(iis_max(:)-iis_min(:)+1)) + iis_min(:);
jjs = floor(rand(lenRad,1).*(jjs_max(:)-jjs_min(:)+1)) + jjs_min(:);
nns(:,1) = NNF(ii,jj,:);
nns(:,2:lenRad+1) = [iis';jjs'];
ofs_rs(1) = offsets(ii,jj);
for itr_rs = 1:lenRad
tmp1 = targetImg_NaN(w+ii-w:w+ii+w,w+jj-w:w+jj+w , :)...
- sourceImg(iis(itr_rs)-w:iis(itr_rs)+w,jjs(itr_rs)-w:jjs(itr_rs)+w , :);
tmp2 = tmp1(~isnan(tmp1(:)));
ofs_rs(itr_rs+1) = sum(tmp2.^2)/length(tmp2);
end
[~,idx] = min(ofs_rs);
end
end
end
if dispProgress((ii-1)*tsz(2)+jj); fprintf('='); end
end % jj
end % ii
fprintf('>\nDone!\n');
elseif(sum(sum(debug.target_covered))/((tsz(1)+2*w)*(tsz(2)+2*w))<1)%>0.95 covered
is_odd = mod(iteration,2)==1;
%% raster scan or reverse raster scan
if is_odd % odd
disp([num2str(iteration),'th iteration (raster scan order) start!.']);
ii_seq = 1:tsz(1); jj_seq = 1:tsz(2);
else % even
disp([num2str(iteration),'th iteration (reverse raster scan order) start!.']);
ii_seq = tsz(1):(-1):1; jj_seq = tsz(2):(-1):1;
end
fprintf('0%%----------100%%\n >'); % ten %s.
dispProgress = false(tsz(1)*tsz(2),1);
dispInterval = floor(tsz(1)*tsz(2)/10);
dispProgress(dispInterval:dispInterval:end) = true;
debug.dispProgress = dispProgress;
for ii = ii_seq
for jj = jj_seq
% TODO: if offset(ii,jj) is lower than predefined threshold, continue.
%%%%%%%%%%%%%%%%%%%%%
%-- Propagation --%
%%%%%%%%%%%%%%%%%%%%%
%% propagate from top and left
if is_odd %odd
% center, top, left
ofs_prp(1) = offsets(ii,jj);
ofs_prp(2) = offsets(max(1,ii-1),jj);
ofs_prp(3) = offsets(ii,max(1,jj-1));
[~,idx] = min(ofs_prp);
% propagate from top
switch idx
case 2
if NNF(ii-1,jj,1)+1+w<=ssz(1) && NNF(ii-1,jj,2)+w<=ssz(2)
% if idx==2 && NNF(ii-1,jj,1)+1+w<=ssz(1) && NNF(ii-1,jj,2)+w<=ssz(2)
NNF(ii,jj,:) = NNF(ii-1,jj,:);
NNF(ii,jj,1) = NNF(ii,jj,1)+1;
tmp = targetImg_NaN(w+ii-w:w+ii+w,w+jj-w:w+jj+w , :)...
- sourceImg(NNF(ii,jj,1)-w:NNF(ii,jj,1)+w,NNF(ii,jj,2)-w:NNF(ii,jj,2)+w , :);
tmp = tmp(~isnan(tmp(:)));
offsets(ii,jj) = sum(tmp(:).^2)/length(tmp(:));
end
% propagate from left
case 3
% elseif idx==3 && NNF(ii,jj-1,1)<=ssz(1) && NNF(ii,jj-1,2)+1+w<=ssz(2)
if NNF(ii,jj-1,1)<=ssz(1) && NNF(ii,jj-1,2)+1+w<=ssz(2)
NNF(ii,jj,:) = NNF(ii,jj-1,:);
NNF(ii,jj,2) = NNF(ii,jj,2)+1;
tmp = targetImg_NaN(w+ii-w:w+ii+w,w+jj-w:w+jj+w , :)...
- sourceImg(NNF(ii,jj,1)-w:NNF(ii,jj,1)+w,NNF(ii,jj,2)-w:NNF(ii,jj,2)+w , :);
tmp = tmp(~isnan(tmp(:)));
offsets(ii,jj) = sum(tmp(:).^2)/length(tmp(:));
end
end
%% propagate from bottom and right
else %even
% center, bottom, right
ofs_prp(1) = offsets(ii,jj);
ofs_prp(2) = offsets(min(ii+1,tsz(1)),jj);
ofs_prp(3) = offsets(ii,min(jj+1,tsz(2)));
[~,idx] = min(ofs_prp);
% propagate from bottom
switch idx
case 2
if idx==2 && NNF(ii+1,jj,1)-1-w>=1 && NNF(ii+1,jj,2)-w>=1
% if idx==2 && NNF(ii+1,jj,1)-1-w>=1 && NNF(ii+1,jj,2)-w>=1
NNF(ii,jj,:) = NNF(ii+1,jj,:);
NNF(ii,jj,1) = NNF(ii,jj,1)-1;
tmp = targetImg_NaN(w+ii-w:w+ii+w,w+jj-w:w+jj+w , :)...
- sourceImg(NNF(ii,jj,1)-w:NNF(ii,jj,1)+w,NNF(ii,jj,2)-w:NNF(ii,jj,2)+w , :);
tmp = tmp(~isnan(tmp(:)));
offsets(ii,jj) = sum(tmp(:).^2)/length(tmp(:));
end
% propagate from right
case 3
if idx==3 && NNF(ii,jj+1,1)-w>=1 && NNF(ii,jj+1,2)-1-w>=1
% elseif idx==3 && NNF(ii,jj+1,1)-w>=1 && NNF(ii,jj+1,2)-1-w>=1
NNF(ii,jj,:) = NNF(ii,jj+1,:);
NNF(ii,jj,2) = NNF(ii,jj,2)-1;
tmp = targetImg_NaN(w+ii-w:w+ii+w,w+jj-w:w+jj+w , :)...
- sourceImg(NNF(ii,jj,1)-w:NNF(ii,jj,1)+w,NNF(ii,jj,2)-w:NNF(ii,jj,2)+w , :);
tmp = tmp(~isnan(tmp(:)));
offsets(ii,jj) = sum(tmp(:).^2)/length(tmp(:));
end
end
end
%%%%%%%%%%%%%%%%%%%%%%
%-- RandomSearch --%
%%%%%%%%%%%%%%%%%%%%%%
iis_min = max(1+w,NNF(ii,jj,1)-Radius(:));
iis_max = min(NNF(ii,jj,1)+Radius(:),ssz(1)-w);
jjs_min = max(1+w,NNF(ii,jj,2)-Radius(:));
jjs_max = min(NNF(ii,jj,2)+Radius(:),ssz(2)-w);
iis = floor(rand(lenRad,1).*(iis_max(:)-iis_min(:)+1)) + iis_min(:);
jjs = floor(rand(lenRad,1).*(jjs_max(:)-jjs_min(:)+1)) + jjs_min(:);
nns(:,1) = NNF(ii,jj,:);
nns(:,2:lenRad+1) = [iis';jjs'];
ofs_rs(1) = offsets(ii,jj);
for itr_rs = 1:lenRad
tmp1 = targetImg_NaN(w+ii-w:w+ii+w,w+jj-w:w+jj+w , :)...
- sourceImg(iis(itr_rs)-w:iis(itr_rs)+w,jjs(itr_rs)-w:jjs(itr_rs)+w , :);
tmp2 = tmp1(~isnan(tmp1(:)));
ofs_rs(itr_rs+1) = sum(tmp2.^2)/length(tmp2);
end
[~,idx] = min(ofs_rs);
offsets(ii,jj) = ofs_rs(idx);
NNF(ii,jj,:) = nns(:,idx);
if dispProgress((ii-1)*tsz(2)+jj); fprintf('='); end
end % jj
end % ii
else
break;
end
end % iteration
debug.offsets{level} = offsets;
end % end of function