Method for constructing meshed model and discrete chromatography of eight-element primary color HSB full color gamut color space
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Solution Overview
Problem
The textile and printing industries face challenges in achieving precise color control and full color gamut representation due to limitations in existing color correction methods, which lack digital models and algorithms for quantitative guidance, leading to low color yield and narrow chromatography.
Innovation Solution
A method for constructing a meshed model and discrete chromatography of an eight-primary-color HSB color space using a 12-surface cone, with digital isometric division of ridgelines, tetrahedrons, and hexahedrons to obtain tristimulus values and interpolate color distribution across the color space.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If five primary colors (magenta, yellow, cyan, black, white) are used to construct the HSB color space, then the color space can be built with basic mixing, but the color yield is low and chromatography is narrow
Solution Approach 1:
The invention divides the color space construction into multiple stages: first establishing a basic five-primary-color framework, then segmenting and adding specialized color regions (red, green, blue, cyan, magenta, yellow) to expand the gamut. This segmentation allows systematic expansion from a simple to a comprehensive color space
Solution Approach 2:
The patent creates a composite color space model that integrates five basic primary colors with eight expanded primary colors. This composite approach combines the simplicity of the original five-color system with the expanded gamut of the eight-color system, achieving both ease of construction and high color yield
2Ease of operation
If five primary colors are used for color mixing, then the mixing process is simple, but the chromatography coverage is narrow
Solution Approach 1:
The invention extends the color space from a basic 5-color model to an 8-color model by adding three-dimensional color depth. This dimensional expansion allows the system to cover broader chromatography ranges while maintaining the operational simplicity of systematic color mixing procedures
3Loss of information
If existing color correction methods are used, then qualitative color description is achieved, but precise quantitative guidance and digital models are lacking
Solution Approach 1:
The patent replaces qualitative mechanical color description methods with quantitative digital models and algorithms. By substituting subjective visual assessment with objective computational color space models, the system achieves precise quantitative guidance while maintaining manageable complexity through standardized mathematical frameworks
4Manufacturing precision
If meshing technology is applied to colorant mixing color space, then digital dyeing and printing precision improves, but full color gamut realization and intelligent color matching remain challenging
Solution Approach 1:
The invention implements a dynamic color space meshing system that adapts to different color gamut requirements. The mesh structure can dynamically adjust its density and distribution based on the specific color matching task, enabling both high precision in critical regions and comprehensive coverage across the full color gamut
Data Source
AI summary
A method for constructing a meshed model and a discrete chromatography of eight primary color HSB color space is provided. By a meshed digital model and a discrete algorithm of color space, the color value and the color distribution in any point, line, surface and space area in the HSB color space can be quickly obtained based on color values of eight primary colors and coordinate values of mesh points in the HSB color space, thereby (i) realizing the full color gamut discrete chromatography of the HSB color space, (ii) realizing the visualization of the full color gamut of the color space, and (iii) improving the work efficiency of color matching.

