Dynamic Color Gamut Mapping Using Gain Value Adjustment
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Solution Overview
Problem
Conventional color gamut mapping methods fail to accurately reflect device characteristics and external illumination conditions, leading to reduced color accuracy and reproducibility in image display devices.
Innovation Solution
A device and method that determine an optimal color gamut by computing lattice points of an output color gamut using a gain value based on information from a first and second color gamut, and control conditions such as chroma, intensity, and external illumination, allowing for conversion of input image data into the optimal output color gamut.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional color gamut mapping method is used, then color gamut can be compressed or extended, but color accuracy and color reproducibility are lowered
Solution Approach 1:
The patent implements dynamic color gamut mapping by adjusting the gain value based on real-time control conditions (chroma, intensity, illumination). The mapping is no longer static but adapts continuously to changing image characteristics and viewing conditions, resolving the contradiction between gamut adaptability and color accuracy.
Solution Approach 2:
The patent changes the parameter of gain value (G) dynamically based on control conditions. By modifying this key parameter according to chroma, intensity, and illumination levels, the system achieves both gamut adaptability and color accuracy, as the mapping transforms according to the formula: output gamut = (input gamut - reference gamut) × G + reference gamut.
2Ease of manufacture
If color gamut mapping is performed without considering control conditions, then processing is simpler, but color accuracy and color reproducibility are lowered
Solution Approach 1:
The patent performs preliminary analysis of control conditions (chroma, intensity, illumination) before executing the color gamut mapping. By pre-evaluating these parameters and determining the appropriate gain value in advance, the system maintains processing efficiency while ensuring color reproducibility through condition-aware mapping.
Solution Approach 2:
The patent incorporates feedback mechanisms by continuously monitoring control conditions (image chroma, intensity, and external illumination) and adjusting the gain value accordingly. This closed-loop approach ensures that color mapping adapts to actual viewing conditions, maintaining high color reproducibility without excessive processing complexity.
3Measurement precision
If gain value is adjusted based on control conditions, then color accuracy is improved, but device complexity increases
Solution Approach 1:
The patent applies local quality by adjusting the gain value specifically for different regions of the color gamut based on local control conditions (chroma and intensity levels). Rather than uniformly processing all colors, the system applies targeted adjustments to specific color regions, improving color accuracy while minimizing overall processing complexity.
4Illumination intensity
If color gamut is extended to WCG for sRGB images, then color visibility is improved, but chrominance recognition may be compromised
Solution Approach 1:
The patent dynamically changes the gain value parameter based on chroma and intensity control conditions. When extending color gamut to WCG, the system adjusts the gain to optimize both color visibility and chrominance recognition, ensuring that the extended gamut does not compromise color accuracy. The mapping formula adapts the output gamut based on the specific chroma and intensity characteristics of the input image.
Data Source
AI summary
A device for mapping a color gamut includes a color gamut determinator and a color gamut mapper. The color gamut determinator determines an output color gamut using a gain value corresponding to information of a first color gamut, information of a second color gamut and a control condition. The color gamut mapper converts the color gamut of an input image data into the output color gamut. Accordingly, it is possible to provide a device and method for mapping a color gamut, which can determine an optimal color gamut corresponding to a change in control condition, and accordingly improve color accuracy and color reproducibility.