Perceptual metric for color transfer methods

Hristina Hristova        Olivier Le Meur        Remi Cozot        Kadi Bouatouch

IRISA / University of Rennes 1, France

ICIP 2017



In this paper, we propose a perceptual model for evaluating results from color transfer methods. We conduct a user study, which provides a set of subjective scores for triples of input, target and result images. Then, for each triple, we compute a number of image features, which objectively characterize a color transfer. To describe the relationship between these features and the subjective scores, we build a regression model with random forests. An analysis and a cross-validation show that the predictions of our model are highly accurate.

User study

Click on the figure above for more information about the performed user study.


Hristova, Hristina and Le Meur, Olivier and Cozot, Remi and Bouatouch, Kadi (2015). Perceptual metric for color transfer methods, ICIP 2017
  title={Perceptual metric for color transfer methods},
  author={Hristova, Hristina and Meur, Olivier Le and Cozot, Remi and Bouatouch, Kadi},
  booktitle={ICIP’2017 conference, Beijing, China},