Multicolorant Separation via Segmented Gamut Processes
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Solution Overview
Problem
Current color printing systems using cyan, magenta, yellow, and black colorants struggle to accurately render bright and saturated blue, orange, and green colors due to limitations in their color gamut, and the introduction of additional colorants complicates the color separation process without standardized targets.
Innovation Solution
The method breaks down the print process into partial four-colorant processes, using cyan, magenta, yellow, and black with additional opponent colorants like orange, green, or blue, and constrains colorant magnitudes between minimum and maximum values to achieve continuous colorant variations across color gamut boundaries.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If additional colorants (orange, green, blue) are introduced to expand color gamut, then color rendering capability is improved, but device complexity increases
Solution Approach 1:
The patent segments the color separation problem into multiple mathematical models, each handling specific colorant combinations. Instead of creating a single complex model for all colorants, the system divides the color space into regions, each with its own optimized separation model, thereby managing complexity while maintaining expanded color gamut capability
Solution Approach 2:
The patent changes the parameters of the color separation process by introducing multiple mathematical models with different parameters for different colorant sets. Each model is optimized for specific colorant combinations (e.g., CMYK vs. CMYKO), allowing the system to adapt parameters based on which colorants are being used, thus managing complexity while supporting expanded color gamut
2Adaptability or versatility
If additional colorants are used to render bright and saturated colors, then color gamut is expanded, but manufacturing precision requirements increase
Solution Approach 1:
The patent segments the colorant magnitude control into multiple mathematical models, each handling specific colorant combinations with optimized precision requirements. By dividing the color space into regions with dedicated models, the system reduces the precision burden on any single model while maintaining overall color accuracy across the expanded gamut
Solution Approach 2:
The patent introduces mathematical models as intermediary layers between the desired color output and the physical colorant application. These models act as mediators that translate color targets into colorant magnitudes, managing the precision requirements by providing a computational buffer that handles the complexity of multiple colorant interactions
3Measurement precision
If color separation is performed with five or more colorants, then color rendering accuracy is improved, but process complexity increases
Solution Approach 1:
The patent segments the color separation process into multiple mathematical models, each optimized for specific colorant combinations. This segmentation allows the system to maintain high accuracy for each model while reducing overall process complexity by handling different colorant sets separately rather than creating a single overly complex unified model
Solution Approach 2:
The patent applies partial color separation models for different colorant combinations rather than attempting to handle all colorants simultaneously in a single model. By using partial models that focus on specific colorant sets (e.g., models that handle orange colorant separately from blue colorant), the system reduces process complexity while maintaining accuracy through selective application of appropriate models
Data Source
AI summary
A method separates a color vector into a colorant vector for a printing system that uses more than four colorants, for example cyan, magenta, yellow, black, orange and green colorants. According to the method, the separation process is split up into partial four colorant processes that contain opponent colors. For example, a first partial process is a cyan, magenta, yellow and black process; a second one is an orange, magenta, yellow and black process; and a third one is a cyan, green, yellow and black process. Continuity of magnitudes of the colorants is achieved across the boundaries of the color gamuts of the partial processes by imposing specific constraints on the combinations of colorants to render a given color. A computer implemented system and a print system are based on the method.