Color Conversion Correction Data Generation for Printer Color Matching
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Solution Overview
Problem
Existing color conversion technologies face challenges in achieving accurate color reproduction when converting colors from a printer to match a sample, often resulting in gradation differences and insufficient color reproduction accuracy, especially when using color conversion tables generated from limited printed materials.
Innovation Solution
A color conversion correction data generation device that acquires chromaticity values from both conversion target image data and sample image data, curve-fits these values to generate correction data, and outputs this data for correcting image data undergoing color conversion, thereby reducing gradation differences and improving color reproduction accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If color conversion tables are generated from limited printed materials, then the device complexity is reduced, but the color reproduction accuracy deteriorates
Solution Approach 1:
The system performs preliminary color conversion using an initial color conversion table before the curve-fitting correction, preparing the image data in advance for subsequent refinement. This two-stage approach allows the system to use simple initial tables while achieving high accuracy after correction.
Solution Approach 2:
The system uses measured chromaticity values from actual printed samples as feedback to correct the color conversion table. By comparing predicted chromaticity values with actual measured values, the system iteratively refines the color conversion parameters to eliminate gradation differences and improve accuracy.
2Speed
If color conversion is performed using existing methods, then the processing speed is maintained, but the gradation differences increase
Solution Approach 1:
The system changes the chromaticity parameters by performing curve-fitting on the correspondence between measured and predicted chromaticity values. This parameter adjustment through mathematical fitting eliminates gradation differences while maintaining efficient processing through automated computation.
3Adaptability or versatility
If color conversion tables are created from printed samples, then the adaptability to specific printers is improved, but the measurement precision of reading devices becomes a limiting factor
Solution Approach 1:
The system uses chromaticity values as an intermediary representation between the reading device measurements and the final color conversion table. By working in chromaticity space and applying curve-fitting, the system compensates for reading device variations and extracts accurate color characteristics that are then used to create printer-specific conversion tables.
Data Source
AI summary
A color conversion correction data generation device includes circuitry that acquires first chromaticity values obtained from conversion target image data and second chromaticity values of sample image data, the conversion target image data being image data to be subjected to color conversion, the sample image data being obtained by reading a printed sample; curve-fits chromaticity value correspondence data to generate color conversion correction data, the chromaticity value correspondence data being data in which the acquired first chromaticity values and the acquired second chromaticity values are associated with each other; and outputs the color conversion correction data for correcting image data obtained by subjecting the conversion target image data to the color conversion.