source and target reverse

[XinArkh]

I believe the original paper means that we want the source image to mimic the color performance of the target image, and output a transferred source image. However, in your implementation, the target image is instead transferred. This is what makes the following formulas inconsistent with the paper.

color_transfer/color_transfer/__init__.py

Lines 50 to 68 in 6724ccf

	l -= lMeanTar
	a -= aMeanTar
	b -= bMeanTar
	if preserve_paper:
	# scale by the standard deviations using paper proposed factor
	l = (lStdTar / lStdSrc) * l
	a = (aStdTar / aStdSrc) * a
	b = (bStdTar / bStdSrc) * b
	else:
	# scale by the standard deviations using reciprocal of paper proposed factor
	l = (lStdSrc / lStdTar) * l
	a = (aStdSrc / aStdTar) * a
	b = (bStdSrc / bStdTar) * b
	# add in the source mean
	l += lMeanSrc
	a += aMeanSrc
	b += bMeanSrc

[InnovArul]

As I understand from the paper, the else case (i.e., preserve_paper = False) is actually the same as the paper. Am I right?