Back to articles
Articles
Volume: 25 | Article ID: art00041
Image
Spectral predictions of rough ink layers using a four-flux model
  DOI :  10.2352/ISSN.2169-2629.2017.25.251  Published OnlineSeptember 2017
Abstract

Predicting how light propagates through a stack of ink layers for spectral reproduction is a challenge only optical models can face. In particular, the four-flux model offers directional information about the part of light specularly reflected and transmitted and the part of light scattered in other directions. The surface roughness influences strongly the ratios of collimated and diffused light. In this paper, we describe how a radiative transfer four-flux matrix model can account for rough interfaces and show how roughness impacts the measured components of the reflectance and the transmittance of stacks of ink printed with different textures. The measurements are then compared to computations of the model with colorimetric and spectral metrics. Results are encouraging, considering that the predictions are made without any measurements directly inputted into the model, with the median color difference mostly below 2 ΔE94 units for total reflectance and transmittance whatever the roughness.

Subject Areas :
Views 7
Downloads 0
 articleview.views 7
 articleview.downloads 0
  Cite this article 

Théo Phan Van Song, Christine Andraud, Maria V. Ortiz-Segovia, "Spectral predictions of rough ink layers using a four-flux modelin Proc. IS&T 25th Color and Imaging Conf.,  2017,  pp 251 - 257,  https://doi.org/10.2352/ISSN.2169-2629.2017.25.251

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2017
72010350
Color and Imaging Conference
color imaging conf
2166-9635
Society for Imaging Science and Technology