Perceptual metric for color transfer methods - Archive ouverte HAL Access content directly
Conference Papers Year : 2017

Perceptual metric for color transfer methods

(1, 2) , (1, 2) , (1, 2) , (1, 2)


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 triplets of input, target and result images. Then, for each triplet, 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.


Not file

Dates and versions

hal-01651141 , version 1 (28-11-2017)


  • HAL Id : hal-01651141 , version 1


Hristina Hristova, Olivier Le Meur, Rémi Cozot, Kadi Bouatouch. Perceptual metric for color transfer methods. IEEE International Conference on Image Processing - ICIP 2017, Sep 2017, Shanghai, China. ⟨hal-01651141⟩
2785 View
0 Download


Gmail Facebook Twitter LinkedIn More