Reproducing the appearance of real-world materials using current printing technology is problematic. The reduced number of inks available define the printer’s limited gamut, creating distortions in the printed appearance that are hard to control. Gamut mapping refers to the process of bringing an out-of-gamut material appearance into the printer’s gamut, while minimizing such distortions as much as possible. We present a novel two-step gamut mapping algorithm that allows users to specify which perceptual attribute of the original material they want to preserve (such as brightness, or roughness). In the first step, we work in the low-dimensional intuitive appearance space recently proposed by Serrano et al. [SGM*16], and adjust achromatic reflectance via an objective function that strives to preserve certain attributes. From such intermediate representation, we then perform an image-based optimization including color information, to bring the BRDF into gamut. We show, both objectively and through a user study, how our method yields superior results compared to the state of the art, with the additional advantage that the user can specify which visual attributes need to be preserved. Moreover, we show how this approach can also be used for attribute-preserving material editing.



@article{sun2017attribute, title={Attribute-preserving gamut mapping of measured BRDFs}, author={Sun, Tiancheng and Serrano, Ana and Gutierrez, Diego and Masia, Belen}, journal = {Computer Graphics Forum}, volume={36}, number={4}, year={2017} }



We would like to thank the reviewers for their insightful comments, and Adrian Jarabo and Ibon Guillen for discussions. We also thank Sandra Malpica. This research has been partially funded by an ERC Consolidator Grant (project CHAMELEON), and the Spanish Ministry of Economy and Competitiveness (projects TIN2016-79710-P and TIN2016- 78753-P). Tiancheng Sun was further supported by Tsinghua Spark Program. Ana Serrano was supported by an FPI grant from the Spanish Ministry of Economy and Competitiveness.