Color Conversion Device for Metallic Tone Reproduction
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Solution Overview
Problem
Current color conversion methods for image forming devices, particularly when dealing with metallic colors, fail to accurately reproduce color shades as they only consider measurements from a single direction, leading to inconsistencies in color reproduction across different viewing angles.
Innovation Solution
A color conversion device that receives colorimetric values from multiple angles and uses a color conversion model to calculate weighted averages of color differences, adjusting weighting coefficients to minimize color differences and optimize toner amounts for CMYKSi toner, ensuring accurate reproduction of metallic colors across various viewing directions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If colorimetric values are measured from a single direction, then the measurement process is simple, but color reproduction accuracy deteriorates when viewed from different angles
Solution Approach 1:
The measurement process is segmented into multiple directional measurements (front direction, oblique directions) rather than a single measurement. This segmentation allows capturing colorimetric values from different viewing angles, which resolves the contradiction by maintaining measurement simplicity through systematic segmentation while improving color reproduction accuracy across multiple viewing directions.
Solution Approach 2:
The measurement approach transitions from a single-dimensional measurement to multi-dimensional measurements by incorporating oblique directions in addition to the front direction. This dimensional expansion captures the directional characteristics of metallic colors, thereby improving color reproduction accuracy without significantly complicating the measurement process.
2Manufacturing precision
If colorimetric values are measured from multiple directions, then color reproduction accuracy improves, but the measurement process complexity increases
Solution Approach 1:
The complex multi-directional measurement process is segmented into standardized measurement positions (front direction, specific oblique angles). This segmentation reduces the perceived complexity by providing a systematic framework that can be implemented with standard colorimetric devices, thereby maintaining color reproduction accuracy while making the process more manageable.
Solution Approach 2:
The measurement system incorporates parameter changes by adjusting the viewing angle parameter to capture colorimetric values at different orientations. This parameter-based approach allows accurate color reproduction of metallic colors while maintaining a relatively simple measurement process that can be automated or standardized.
3Manufacturing precision
If weighting coefficients are adjusted to minimize color differences, then color reproduction accuracy improves, but the calculation complexity increases
Solution Approach 1:
The system employs feedback mechanisms where colorimetric values measured from multiple directions are fed back into the color conversion model. The weighting coefficients are adjusted based on feedback from color difference calculations, enabling accurate color reproduction while managing calculation complexity through iterative optimization rather than complex simultaneous equations.
Solution Approach 2:
The calculation system utilizes parameter changes by dynamically adjusting weighting coefficients based on measured colorimetric values. This parameter optimization approach balances color reproduction accuracy with calculation complexity by using iterative methods that converge to optimal solutions without requiring excessively complex computational algorithms.
Data Source
AI summary
A color conversion device includes a receiving unit receiving colorimetric values obtained by measuring plural target-color images of different tones from plural directions; a memory storing a color conversion model associating a combination of colorimetric direction and color material amounts of respective colors and actually measured color values; and a converter converting the colorimetric values into color values including values indicative of amounts of glittering color material and other color materials, wherein the converter calculates, for each target-color image, a weighted average of color differences between colorimetric values of the target-color image in colorimetric directions and color values in the colorimetric directions obtained from the model by using preset weighting coefficients and selects a combination of weighting coefficients that makes tone characteristics closest to tone characteristics of the target-color images by changing the weighting coefficients when a combination of color material amounts minimizing the weighted average is determined.