Characterization by Hyperspectral Imaging and Hypercolor Gamut Estimation for Structural Color Prints View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2017

AUTHORS

Mathieu Hébert , Juan Martínez-García , Thomas Houllier , Hayk Yepremian , Nicolas Crespo-Monteiro , Francis Vocanson , Alain Trémeau , Nathalie Destouches

ABSTRACT

A recently developed color printing system on glass plates, based on dot-by-dot laser irradiation generating the growth of metallic nanoparticles in a special coating, produces structural colors depending strongly on the illumination and observation configuration. The difficulty for an exhaustive color characterization of the printing technology comes not only from the goniochromaticity of the samples, but also from their very high specularity, to which classical measurement instruments are not adapted. Moreover, as the light-matter interaction relies on a number of optical phenomena (surface plasmon resonance, interferences, diffraction, effects of polarization of light) for which no predictive model is available today, their characterization requires measurement of many printed samples. In this paper, we present a characterization method based on multispectral imaging and on spectral prediction for halftone colors that permitted a first gamut estimation in three specific illumination/viewing configurations. More... »

PAGES

211-222

Book

TITLE

Computational Color Imaging

ISBN

978-3-319-56009-0
978-3-319-56010-6

From Grant

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-56010-6_18

DOI

http://dx.doi.org/10.1007/978-3-319-56010-6_18

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1084675049


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