Algorithm 1.

Image Analogies.

Input:
	Training images: A and A′;
	Source image: B.
Output:
	’Filtered’ source B′.
1:	Construct Gaussian pyramids for A, A′ and B;
2:	Generate features for A, A′ and B;
3:	for each level l starting from coarsest do
4:	for each pixel $q\in B_l^{\prime }$, in scan-line order do
5:	Find best matching pixel p of q in Al and $A_l^{\prime }$;
6:	Assign the value of pixel p in A′ to the value of pixel q in $B_l^{\prime }$;
7:	Record the position of p.
8:	end for
9:	end for
10:	Return $B_L^{\prime }$ where L is the finest level.