Robust and fast numerical color separation for mathematical printer models

Werner Praefcke

doi:10.1117/12.334565

22 December 1998 Robust and fast numerical color separation for mathematical printer models

Werner Praefcke

Proceedings Volume 3648, Color Imaging: Device-Independent Color, Color Hardcopy, and Graphic Arts IV; (1998) https://doi.org/10.1117/12.334565
Event: Electronic Imaging '99, 1999, San Jose, CA, United States

Abstract

Halftone color printers can be mathematically modeled rather accurately using the Neugebauer equations or the Yule- Nielsen equations. However, the color separation which is the inverse of the printer model is not an easy task. For obtaining the printer driving parameters needed for a color the most appropriate methods comprises lookup tables, iterative inversion of the model, or an approximation. In order to avoid the memory requirement of a lookup table we investigate the suitability of the latter two approaches for the inversion of the Neugebauer and the Yule-Nielsen model in three and four color printing. The iterative approach is based on the Newton gradient scheme, the approximate approach consists of a refinement of the very simple method CMY equals 1 - RGB. We compare both the results to the optimally achievable results and demonstrate the only slightly inferior results.

Citation Download Citation

Werner Praefcke "Robust and fast numerical color separation for mathematical printer models", Proc. SPIE 3648, Color Imaging: Device-Independent Color, Color Hardcopy, and Graphic Arts IV, (22 December 1998); https://doi.org/10.1117/12.334565

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