Neugebauer Model Optimization for Imaging System Characterization
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Solution Overview
Problem
N-color profiling of printing 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 process large amounts of data.
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 data requirements and updates profiles efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional N-color profiling methods are used to characterize imaging systems, then measurement accuracy can be maintained, but the amount of manual labor and time required increases significantly
Solution Approach 1:
The profiling process is segmented into distinct optimization stages: first optimizing global Neugebauer model parameters, then optimizing device-coordinate-specific parameters. This segmentation allows the system to process data more efficiently by breaking down the complex profiling task into manageable steps, reducing overall profiling time while maintaining measurement accuracy.
Solution Approach 2:
The invention changes the approach by optimizing parameters in a specific sequence - first global parameters, then device-coordinate parameters. This parameter change strategy reduces the computational burden and manual intervention required, significantly decreasing profiling time while preserving color measurement accuracy through systematic parameter optimization.
2Measurement precision
If comprehensive color charts with many patches are printed for profiling, then characterization accuracy improves, but material costs and production complexity increase
Solution Approach 1:
The invention extracts only the essential information needed for accurate profiling by optimizing global parameters first, then device-coordinate parameters. This extraction approach allows accurate system characterization without requiring comprehensive color charts with numerous patches, reducing chart production complexity and material costs while maintaining characterization accuracy.
Solution Approach 2:
The method performs preliminary optimization of global Neugebauer model parameters before optimizing device-coordinate parameters. This preliminary action reduces the amount of data needed from color charts, as the global optimization establishes a foundation that requires fewer measurement patches to achieve accurate characterization, thereby reducing chart complexity.
3Reliability
If traditional profiling methods process large data sets, then complete system characterization is achieved, but processing time and computational resources increase
Solution Approach 1:
The data processing is segmented into two stages: global parameter optimization followed by device-coordinate parameter optimization. This segmentation reduces computational complexity at each stage, allowing the system to process data more efficiently and achieve complete profile characterization without requiring excessive processing time or computational resources.
Solution Approach 2:
The invention changes the processing approach by optimizing parameters in a hierarchical manner - global parameters first, then device-coordinate parameters. This parameter change strategy reduces the overall computational burden and increases profiling throughput while maintaining profile completeness, as each optimization stage builds upon the previous one.
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.