Color Gamut Data Creating Device Using Geometric Constraints
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Solution Overview
Problem
Conventional color matching systems face challenges in accurately representing and utilizing the color gamut of outputting printers, leading to inefficient color reproduction and underutilization of the printer's color capabilities due to inaccurate gamut determination and calibration.
Innovation Solution
A color gamut data creating device and method that extracts vertices of the color gamut based on specific conditions, such as proximity and cross-product signs, to create accurate color gamut data, enabling faithful reproduction of the color gamut without increasing the number of hue sections, thereby improving color matching and utilization of the printer's capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If conventional convex hull method is used to determine color gamut, then the gamut boundary is simplified, but the accuracy of color gamut representation deteriorates
Solution Approach 1:
The patent segments the color gamut determination process into multiple stages: first identifying candidate vertices from measurement points, then applying geometric constraints (cross-product signs, distance thresholds) to filter and refine the vertex set. This segmentation allows accurate gamut representation without requiring exhaustive processing of all measurement points.
Solution Approach 2:
The patent applies different processing qualities to different regions of the color space. By identifying local vertex candidates and applying geometric constraints locally around each candidate point, the method achieves high accuracy in determining the true gamut boundary while maintaining efficiency. Each local region is processed with appropriate detail level based on measurement point density.
2Measurement precision
If the number of hue sections is increased to improve color gamut accuracy, then the precision of color reproduction is improved, but the processing complexity and time increase
Solution Approach 1:
The patent performs preliminary identification of vertex candidates and applies geometric constraints before final gamut calculation. By pre-filtering measurement points that could potentially be vertices using cross-product signs and distance thresholds, the method reduces the dataset size early in the process, avoiding the need for exhaustive processing of all points in multiple hue sections.
Solution Approach 2:
The patent extracts only the essential vertex points that define the color gamut boundary, separating them from the larger set of measurement points. This extraction process identifies and isolates the critical vertices needed for accurate gamut representation, discarding redundant measurement points that do not contribute to the boundary definition.
3Ease of operation
If conventional color matching is performed without accurate gamut data, then the process is simpler, but the color reproduction accuracy deteriorates
Solution Approach 1:
The patent enables the color matching system to automatically determine accurate gamut boundaries through geometric constraints applied to measurement points. The system self-calibrates by identifying vertices that satisfy the cross-product sign conditions and distance thresholds, eliminating the need for manual gamut specification or complex external calibration procedures.
Data Source
AI summary
A color gamut data creating device includes a locating unit, and an extracting unit. The locating unit locates characteristic points based on the measurement points on a target plane. The extracting unit extracts at least three vertices of a color gamut from among the characteristic points. The at least three vertices satisfy the conditions that a first point, which is any one of the at least three vertices, is located within a reference distance from a second point adjacent to the first point from among the at least three vertices, and that all cross products that are calculated by a vector from the first point to the second point and vectors from the first point to any characteristic points that are located within the reference distance from the first point have the same sign.