78313 20190819101353.0 doi 10.1111/cgf.13223 sideral 100959 ART-2017-100959 eng Sun, Tiancheng Attribute-preserving gamut mapping of measured BRDFs 2017 Access copy available to the general public Unrestricted 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. info:eu-repo/grantAgreement/ES/MINECO/TIN2016-79710-P info:eu-repo/grantAgreement/ES/MINECO/TIN2016-78753-P This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 682080-CHAMELEON info:eu-repo/grantAgreement/EC/H2020/682080/EU/Intuitive editing of visual appearance from real-world datasets/CHAMELEON info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ 2.046 2017 COMPUTER SCIENCE, SOFTWARE ENGINEERING 22 / 104 = 0.212 2017 Q1 T1 0.597 2017 Computer Networks and Communications 2017 Q1 Computer Graphics and Computer-Aided Design 2017 Q2 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion (orcid)0000-0002-5169-7042 Serrano, Ana Universidad de Zaragoza (orcid)0000-0002-7503-7022 Gutierrez, Diego Universidad de Zaragoza (orcid)0000-0003-0060-7278 Masia, Belen Universidad de Zaragoza 5002 305 Universidad de Zaragoza Dpto. Ingeniería Diseño Fabri. Área Expresión Gráfica en Ing. 5007 570 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Lenguajes y Sistemas Inf. 36, 4 (2017), 47-54 Comput. graph. forum COMPUTER GRAPHICS FORUM 0167-7055 4753446 http://zaguan.unizar.es/record/78313/files/texto_completo.pdf Versión publicada 102837 http://zaguan.unizar.es/record/78313/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:78313 articulos driver 2019-08-19-09:51:29 ARTICLE