Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Journal articles
  4. Kubelka-Munk model for imperfectly diffuse light distribution in paper
 
Loading...
Thumbnail Image
research article

Kubelka-Munk model for imperfectly diffuse light distribution in paper

Yang, Li
•
Hersch, R. D.  
2008
Journal Of Imaging Science And Technology

Perfectly diffuse light is a fundamental assumption in the Kubelka-Munk (KM) modeL This assumption is, however seldom fulfilled by real media. In this work, we build a bridge between a weakly absorbing medium with an imperfectly diffuse light distribution and the corresponding KM model relying on a perfectly diffuse light distribution. We multiply the apparent K and S phenomenal coefficients deduced from a learning set medium by a scaling factor expressing the ratio of light diffuseness between the target medium and the learning set medium. For the target medium, thanks to this diffuseness scaling factor, theoretically predicted reflection and transmission spectra agree with the corresponding measured spectra. The illumination geometry, the optical properties and the thickness of the medium have an impact on the light diffuseness and therefore on the proposed diffuseness scaling factor. (c) 2008 Society for Imaging Science and Technology.

  • Details
  • Metrics
Type
research article
DOI
10.2352/J.ImagingSci.Technol.(2008)52:3(030201)
Web of Science ID

WOS:000257875500003

Author(s)
Yang, Li
•
Hersch, R. D.  
Date Issued

2008

Published in
Journal Of Imaging Science And Technology
Volume

52

Issue

3

Article Number

30201

Subjects

Scattering

•

Media

•

Absorption

•

Propagation

Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LSP  
Available on Infoscience
November 30, 2010
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/61188
Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés