#Matlab, 104104 92 bytes
This makes use of the 3d-array/matrix representation of RGB images in Matlab, as well as the Kronecker product which is exactly what we need creating this new 2x2 "metapixel" form each source pixel. The output is then displayed in a popup window.
a=double(imread(input('')));b=[a,a;a,a];for;for n=1:3;b(:,:,n)=kron(a(:,:,n),[1:2;2:3]==n)/255;end;imshow(b) Resized screencapture:
#Matlab, 104 bytes
This makes use of the 3d-array/matrix representation of RGB images in Matlab, as well as the Kronecker product which is exactly what we need creating this new 2x2 "metapixel" form each source pixel. The output is then displayed in a popup window.
a=double(imread(input('')));b=[a,a;a,a];for n=1:3;b(:,:,n)=kron(a(:,:,n),[1:2;2:3]==n)/255;end;imshow(b) Resized screencapture:
#Matlab, 104 92 bytes
This makes use of the 3d-array/matrix representation of RGB images in Matlab, as well as the Kronecker product which is exactly what we need creating this new 2x2 "metapixel" form each source pixel. The output is then displayed in a popup window.
a=double(imread(input('')));for n=1:3;b(:,:,n)=kron(a(:,:,n),[1:2;2:3]==n)/255;end;imshow(b) Resized screencapture:
#Matlab, 104 bytes
This makes use of the 3d-array/matrix representation of RGB images in Matlab, as well as the Kronecker product which is exactly what we need creating this new 2x2 "metapixel" form each source pixel. The output is then displayed in a popup window.
a=double(imread(input('')));b=[a,a;a,a];for n=1:3;b(:,:,n)=kron(a(:,:,n),[1:2;2:3]==n)/255;end;imshow(b) Resized screencapture: