Color Conversion Table Adjustment for Printing Accuracy
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Solution Overview
Problem
Existing color conversion methods in printing technologies, such as those using ICC profiles, often fail to accurately reproduce colors due to errors in profile calibration and printer fluctuations, limiting the ability to adjust color conversion tables effectively for improved accuracy.
Innovation Solution
A method for adjusting color conversion tables by accepting multiple adjustment points within an interpolation range, determining adjustment amounts for reference grid points, and applying these adjustments to improve color reproduction accuracy across various color spaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If only one adjustment point is set in an interpolation segment, then the adjustment process is simple, but color reproduction accuracy deteriorates because multiple points cannot be adjusted as intended
Solution Approach 1:
The interpolation segment is divided into multiple sub-segments based on the positions of multiple adjustment points. Each sub-segment contains at most one adjustment point, allowing independent adjustment of each point while maintaining interpolation continuity. This segmentation enables precise control of multiple colors without requiring complex global adjustments.
Solution Approach 2:
The invention changes the parameter representation by introducing intermediate parameters (sub-segment adjustment amounts) that are derived from the original adjustment points. These intermediate parameters are used to calculate the final adjusted values for all grid points, enabling multiple points to be adjusted simultaneously while maintaining mathematical consistency in the interpolation process.
2Measurement precision
If multiple adjustment points are accepted within an interpolation range, then color reproduction accuracy improves, but determining adjustment amounts for reference grid points becomes more complex
Solution Approach 1:
The invention introduces intermediate adjustment amounts for sub-segments as mediators between the original adjustment points and the final reference grid point adjustments. These intermediate values simplify the calculation process by breaking down the complex multi-point adjustment into a sequence of simpler binary (two-point) adjustments, making the determination process more manageable and systematic.
3Measurement precision
If adjustment points are placed close together, then color reproduction accuracy improves, but the complexity of determining grid point adjustment amounts increases
Solution Approach 1:
When multiple adjustment points are placed close together, the interpolation segment is segmented into multiple sub-segments, each containing one adjustment point. This segmentation allows the system to handle closely spaced points by treating them as separate, manageable units rather than a complex cluster, maintaining accuracy while reducing computational complexity through systematic division.
Data Source
AI summary
A color conversion table adjustment method for adjusting a color conversion table representing a correspondence relationship between coordinate values of an input color space and an output color space for a plurality of grid points by a computer, by using the plurality of reference grid points being referenced when output coordinate values are interpolated, adjustment points receiving step capable of acceptance of a plurality of adjustment points in the interpolation range that dividing the input color space, acquiring set adjustment amounts representing amounts of adjustment for the accepted adjustment points, determining, by using the set adjustment amounts for each of the plurality of adjustment points, grid point adjustment amounts representing amounts of adjustment for the plurality of reference grid points in a case where the plurality of adjustment points are accepted within the interpolation range, and adjusting the color conversion table, based on the grid point adjustment amounts.