Neugebauer Model Optimization for Flexo Printing Color Profiling
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Solution Overview
Problem
Profiling of N-color systems, particularly flexo printing presses, is challenging due to inconsistency and variability in color measurements, requiring extensive manual labor and high costs, as existing methods necessitate large amounts of data for accurate profiling.
Innovation Solution
The method involves printing a color chart with predetermined patches, measuring colorimetric data, initializing a Neugebauer model, optimizing global and device-coordinate-specific parameters, and creating a characterization file using the revised NeugX model, which reduces the data required for profiling by leveraging simplified spectral approaches and dot gain corrections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional profiling methods are used for N-color systems, then measurement accuracy is maintained, but the amount of data required and manual labor increase significantly
Solution Approach 1:
The patent transforms the profiling approach from direct colorimetric measurement to physical parameter measurement (ink densities, spectral reflectance, dot gain). By changing the measured parameters from color values to fundamental printing parameters, the system reduces data requirements while maintaining profiling accuracy through physics-based modeling relationships.
Solution Approach 2:
The patent replaces manual measurement and data collection processes with automated physical modeling. Instead of manually collecting extensive colorimetric data, the system uses measured physical parameters (ink densities, spectral properties) fed into physics-based models (Neugebauer, Kubelka-Munk) to automatically generate profiles, reducing both data volume and manual labor.
2Measurement precision
If extensive color measurements are performed across the sheet, then profiling accuracy is improved, but measurement time and manual labor increase
Solution Approach 1:
The patent extracts only the essential physical parameters needed for profiling (ink densities, spectral reflectance, dot gain) from the complete colorimetric characterization. By taking out only these critical parameters and using physics-based models to predict the remaining color behavior, the system reduces measurement time while maintaining profiling accuracy.
Solution Approach 2:
The patent performs preliminary measurements of fundamental printing parameters (ink densities, spectral properties) that can then be used to predict colorimetric behavior across the entire printing range. This preliminary characterization of physical parameters eliminates the need for extensive subsequent color measurements, reducing time while preserving accuracy.
3Loss of information
If traditional profiling methods are used, then comprehensive color data is obtained, but the cost of plates, ink, and paper increases
Solution Approach 1:
The patent creates a universal physical model that can predict colorimetric behavior for any print condition using a single set of measured physical parameters. This multi-functional approach eliminates the need to print separate test charts for different conditions, reducing material consumption while maintaining complete color data coverage through model predictions.
Solution Approach 2:
The patent uses physics-based models to generate virtual colorimetric data based on measured physical parameters, creating a digital copy of the complete color behavior without physically printing extensive test charts. This virtual copying approach maintains data completeness while eliminating the material costs of printing large numbers of test sheets.
4Quantity of substance
If physical modeling approaches are used, then data requirements are reduced, but model complexity increases
Solution Approach 1:
The patent segments the complex profiling problem into distinct physical components (ink layer properties, substrate properties, optical interactions) that can be measured and modeled separately. By dividing the system into measurable physical parameters and using established physics models for each component, the overall complexity is managed while reducing data requirements.
Data Source
AI summary
A method of characterizing an imaging system is described includes printing a color chart having a plurality of predetermined color patches; measuring the color patches to obtain colorimetric data; initializing a Neugebauer model with the Neugebauer solids of said colorimetric data; optimizing the global parameters of the Neugebauer model; optimizing the parameters associated with Demichel terms based on the Neugebauer primary associated with the Demichel term; optimizing parameters that vary with device coordinates; and creating a characterization file for the imaging system.