Gloss Calibration and Gloss Gamut Mapping for Material Appearance Reproduction of Paintings

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

2 Citations (Scopus)

Abstract

Being able to link captured material characteristics and fabricable material appearance attributes is important for creating
life-like reproductions. In this paper we propose a method for gloss calibration, and an approach for gloss gamut mapping, as
part of an integrated approach for color, topography and gloss reproduction. For gloss calibration, gloss calibration targets
were printed in the primary printing colors (CMYK and White), with uniform gloss in equal distant gloss levels. These targets
were scanned using the proposed gloss scanner. To create the gloss gamut map, a monotonic curve was fitted to the mean gloss
scan values at different gloss levels. Analysis of fitted curves indicated that the gloss mapping is independent of the diffuse
colors. As a case study, the painting ‘Fruit Still Life’ by Cornelis de Heem was scanned, and the measured gloss was mapped
to printable gloss levels using the relation described by the fitted curve. The printed result shows good correspondence to the
painting’s appearance, with clearly distinguishable gloss features for the in-gamut glass values.
Original languageEnglish
Title of host publicationGCH 2018 - Eurographics Workshop on Graphics and Cultural Heritage
EditorsRobert Sablatnig, Michael Wimmer
PublisherThe Eurographics Association
Pages161-164
Number of pages4
ISBN (Electronic)9783038680574
ISBN (Print)978-3-03868-057-4
DOIs
Publication statusPublished - 2018
EventThe 16th EUROGRAPHICS Workshop on Graphics and Cultural Heritage (EG GCH) - Vienna, Austria
Duration: 12 Nov 201815 Nov 2018
Conference number: 16th

Publication series

NameGCH 2018 - Eurographics Workshop on Graphics and Cultural Heritage

Workshop

WorkshopThe 16th EUROGRAPHICS Workshop on Graphics and Cultural Heritage (EG GCH)
Country/TerritoryAustria
CityVienna
Period12/11/1815/11/18

Keywords

  • Computing methodologies
  • Reflectance modeling
  • Applied computing
  • Fine arts

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