Yule-Nielsen effect in halftone prints: graphical analysis method and improvement of the Yule-Nielsen transform

Mathieu Hébert

doi:10.1117/12.2037370

3 February 2014 Yule-Nielsen effect in halftone prints: graphical analysis method and improvement of the Yule-Nielsen transform

Mathieu Hébert

Author Affiliations +

Proceedings Volume 9015, Color Imaging XIX: Displaying, Processing, Hardcopy, and Applications; 90150R (2014) https://doi.org/10.1117/12.2037370
Event: IS&T/SPIE Electronic Imaging, 2014, San Francisco, California, United States

Abstract

The well-known Yule-Nielsen modified spectral Neugebauer model is one of the most accurate predictive models for the spectral reflectance of printed halftone colors which expresses the spectral reflectance of halftones raised to the power 1/n as a linear combination of the spectral reflectance of the fulltone colors (Neugebauer primaries) also raised to the power 1/n, where n is a tunable real number. The power 1/n transform, characteristic of the Yule-Nielsen transform, empirically models the nonlinear relationship between the spectral reflectances of halftones and fulltones due to the internal propagation of light by scattering into the printing support, a phenomenon known as “optical dot gain” or “Yule- Nielsen effect”. In this paper, we propose a graphical method permitting to observe this non-linear relationship in the case of single-ink halftones and to experimentally check the capacity of the Yule-Nielsen model to predict it accurately. In the case where the Yule-Nielsen transform is not well adapted to the considered type of prints, we propose alternative transforms in order to improve the prediction accuracy.

Citation Download Citation

Mathieu Hébert "Yule-Nielsen effect in halftone prints: graphical analysis method and improvement of the Yule-Nielsen transform", Proc. SPIE 9015, Color Imaging XIX: Displaying, Processing, Hardcopy, and Applications, 90150R (3 February 2014); https://doi.org/10.1117/12.2037370

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available