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perceptual.m
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perceptual.m
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%%%%%%%%%%%%% CODE FOR OZITERLII ET AL. [2015] %%
clc
clear all
close all
s=4;
Img1=imread('per6_orig.png');
figure,imshow(Img1),title('Original')
[Height, Width, Depth]=size(Img1);
np=2;
% % % % % % % % % % % % % % % % % % % % % RED BAND SINGLE CHANNEL %%%%
I =(Img1(:,:,1));
avg4 = fspecial('average',[1 1]);
red = imfilter(I,avg4,'conv');
% display(Result)
L=subsampling(red,s);
% figure,imshow(L),title('subsample');
%%%%%%%%%%%%%%%%%% L2 %%%%%%%%%%%%%%
K1=I.^2;
red1 = imfilter(K1,avg4,'conv');
L2=subsampling(red1,s);
% figure,imshow(L),title('L2');
%%%%%%%%%%%%%%%%%%%%%%%% M %%%%%%%%%%%%%%%%%%
avnp =fspecial('average',[round(sqrt(np)) round(sqrt(np))]);
M=imfilter(L,avnp,'conv');
% figure,imshow(M),title('M');
% % % % % % % % % % % % % % % % % % SL
M2=L.^2;
S4=imfilter(M2,avnp,'conv');
MM=M.^2;
Sl=S4-(MM);
% figure,imshow(S4),title('Sl');
% % % % % % % % % % SH %%%%%%%%%%%%%%%%%%%%%%%%%%
S7=imfilter(L2,avnp,'conv');
Sh=S7-(MM);
% figure,imshow(Sh),title('Sh');
R=(sqrt(double(Sh./Sl)));
e= 0.000001;
for idx = 1:numel(R)
element = R(idx);
if isnan(element)
R(idx)=0;
elseif isreal(element)
R(idx)=element;
elseif element < e
R(idx)=0;
else
R(idx)=0;
end
end
sz=size(M);
I=ones(sz);
% I=padarray(I,[1 1],'both');
N=imfilter(I,avnp,'conv');
P=R.*double(M);
% P=padarray(P,[1 1],'both');
T=imfilter(P,avnp,'conv');
% figure,imshow(T),title('T');
% M=padarray(M,[1 1],'both');
M=imfilter(M,avnp,'conv');
% figure,imshow(M),title('M');
% R=padarray(R,[1 1],'both');
R=imfilter(R,avnp,'conv');
% figure,imshow(R),title('R');
size(R);
% L=padarray(L,[1 1],'both');
K=R.*double(L);
% figure,imshow(K),title('K');
J=double(M)+double(K)-double(T);
J=uint8(J);
% figure,imshow(J),title('J');
D1=double(J)./N;
D1=uint8(D1);
% figure,imshow(D1),title('D1');
% % % % % % % % % % % % % % % % % GREEN BAND SINGLE CHANNEL %%%%%%%%%
I =(Img1(:,:,2));
avg4 = fspecial('average',[1 1]);
red = imfilter(I,avg4,'conv');
% display(Result)
L=subsampling(red,s);
% figure,imshow(L),title('subsample');
%%%%%%%%%%%%%%%%%% L2 %%%%%%%%%%%%%%
K1=I.^2;
red1 = imfilter(K1,avg4,'conv');
L2=subsampling(red1,s);
% figure,imshow(L),title('L2');
%%%%%%%%%%%%%%%%%%%%%%%% M %%%%%%%%%%%%%%%%%%
avnp =fspecial('average',[1 1]);
M=imfilter(L,avnp,'conv');
% figure,imshow(M),title('M');
% % % % % % % % % % % % % % % % % % SL
M2=L.^2;
S4=imfilter(M2,avnp,'conv');
MM=M.^2;
Sl=S4-(MM);
% figure,imshow(S4),title('Sl');
% % % % % % % % % % SH %%%%%%%%%%%%%%%%%%%%%%%%%%
S7=imfilter(L2,avnp,'conv');
Sh=S7-(MM);
% figure,imshow(Sh),title('Sh');
R=(sqrt(double(Sh./Sl)));
e=0.000001;
for idx = 1:numel(R)
element = R(idx);
if isnan(element)
R(idx)=0;
elseif isreal(element)
R(idx)=element;
elseif element < e
R(idx)=0;
else
R(idx)=0;
end
end
sz=size(M);
I=ones(sz);
% I=padarray(I,[1 1],'both');
N=imfilter(I,avnp,'conv');
P=R.*double(M);
% P=padarray(P,[1 1],'both');
T=imfilter(P,avnp,'conv');
% figure,imshow(T),title('T');
% M=padarray(M,[1 1],'both');
M=imfilter(M,avnp,'conv');
% figure,imshow(M),title('M');
% R=padarray(R,[1 1],'both');
R=imfilter(R,avnp,'conv');
% figure,imshow(R),title('R');
% L=padarray(L,[1 1],'both');
K=R.*double(L);
% figure,imshow(K),title('K');
J=double(M)+double(K)-double(T);
J=uint8(J);
% figure,imshow(J),title('J');
D2=double(J)./N;
D2=uint8(D2);
% figure,imshow(D2),title('D2');
% % % % % % % % % % % BLUE BAND SINGLE CHANNEL %%%%%%%%%%
I =(Img1(:,:,3));
avg4 = fspecial('average',[1 1]);
red = imfilter(I,avg4,'conv');
% display(Result)
L=subsampling(red,s);
% figure,imshow(L),title('subsample');
%%%%%%%%%%%%%%%%%% L2 %%%%%%%%%%%%%%
K1=I.^2;
red1 = imfilter(K1,avg4,'conv');
L2=subsampling(red1,s);
% figure,imshow(L),title('L2');
%%%%%%%%%%%%%%%%%%%%%%%% M %%%%%%%%%%%%%%%%%%
avnp =fspecial('average',[1 1]);
M=imfilter(L,avnp,'conv');
% figure,imshow(M),title('M');
% % % % % % % % % % % % % % % % % % SL
M2=L.^2;
S4=imfilter(M2,avnp,'conv');
MM=M.^2;
Sl=S4-(MM);
% figure,imshow(S4),title('Sl');
% % % % % % % % % % SH %%%%%%%%%%%%%%%%%%%%%%%%%%
S7=imfilter(L2,avnp,'conv');
Sh=S7-(MM);
% figure,imshow(Sh),title('Sh');
R=(sqrt(double(Sh./Sl)));
e=0.000001;
for idx = 1:numel(R)
element = R(idx);
if isnan(element)
R(idx)=0;
elseif isreal(element)
R(idx)=element;
elseif element < e
R(idx)=0;
else
R(idx)=0;
end
end
sk=size(R);
sz=size(M);
I=ones(sz);
% I=padarray(I,[1 1],'both');
N=imfilter(I,avnp,'conv');
P=R.*double(M);
% P=padarray(P,[1 1],'both');
T=imfilter(P,avnp,'conv');
% figure,imshow(T),title('T');
% M=padarray(M,[1 1],'both');
M=imfilter(M,avnp,'conv');
% figure,imshow(M),title('M');
% R=padarray(R,[1 1],'both');
R=imfilter(R,avnp,'conv');
% figure,imshow(R),title('R');
% L=padarray(L,[1 1],'both');
K=R.*double(L);
% figure,imshow(K),title('K');
J=double(M)+double(K)-double(T);
J=uint8(J);
% figure,imshow(J),title('J');
D3=double(J)./N;
D3=uint8(D3);
% figure,imshow(D3),title('D3');
DD=cat(3,D1,D2,D3);
% folder='\images';
% imwrite(DD,fullfile(folder,'per6_our.png'));
figure,imshow(DD),title('Perceptual-Downscaled');