Color Gamut Mapping Using Local Saturation and Hue Control

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Current color gamut mapping methods are inefficient in achieving precise color gamut tuning for display devices, particularly when transitioning between different color gamuts, such as from sRGB to wider gamuts like those in liquid crystal display devices or organic light-emitting diode displays, requiring significant time and control signals.

Innovation Solution

A color gamut mapping method and device that convert input images into luminance and chrominance components, calculate hue angles, select corresponding hue axes, and adjust saturation and hue gains for each control area, allowing for precise control of chrominance components and subsequent inverse conversion to achieve accurate color mapping.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If a color gamut mapping process is performed to extend or compress color gamut according to display device characteristics, then color reproducibility is improved, but processing time and control signals increase

Engineering Contradiction:
Improvecolor reproducibilityVSAvoidprocessing time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The color gamut mapping process is segmented into multiple independent stages: color space conversion to obtain luminance and chrominance components, hue angle calculation, control area determination, parameter calculation for each control area, saturation control, hue control, and overall control. This segmentation allows parallel processing and optimization of each stage, reducing overall processing time while maintaining color accuracy.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The color gamut space is divided into multiple control areas, and different mapping parameters (saturation gains, hue gains) are applied to each control area based on its specific characteristics. This local quality approach enables precise color gamut tuning for different regions while reducing the computational burden compared to processing the entire color space uniformly.

Inventive Principle:
Principle #3Local quality

2Manufacturing precision

If precise color gamut tuning is performed for each control area, then color mapping accuracy is improved, but device complexity increases

Engineering Contradiction:
Improvecolor mapping accuracyVSAvoidprocessing complexity
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

Different control parameters (saturation gains, hue gains) are applied to different control areas based on their specific color characteristics. This allows precise local tuning of color gamut for each area while maintaining a systematic framework that manages complexity through structured parameter organization.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The invention uses parameter calculation units to dynamically calculate saturation gains and hue gains based on the input image characteristics and display device properties. By changing these parameters adaptively for each control area, the system achieves high color mapping accuracy without requiring complex hardware modifications.

Inventive Principle:
Principle #35Parameter changes

3Measurement precision

If multiple control parameters are calculated and applied for each control area, then color gamut control precision is improved, but control signal quantity increases

Engineering Contradiction:
Improvecolor gamut control precisionVSAvoidcontrol signals
Core Design Contradiction:
Measurement precisionVSQuantity of substance

Solution Approach 1:

Control parameters are calculated and applied locally to each control area rather than globally to the entire image. This allows precise color gamut control for specific regions while reducing the total number of control signals needed compared to applying different parameters to every pixel individually.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The color gamut space is segmented into multiple control areas, and parameter calculation is performed for each area. This segmentation enables efficient reuse of parameters within each control area, reducing the overall control signal quantity while maintaining high precision through localized parameter optimization.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS11640800B2Color gamut mapping method and device
Publication Date: 2023.05.02 LX SEMICON CO LTD
  • US11640800B2 patent drawing
  • US11640800B2 patent drawing
  • US11640800B2 patent drawing

AI summary

The present disclosure relates to a color gamut mapping method and a color gamut mapping device that allow precise color gamut tuning to be efficiently performed, and a display device including the same. A color gamut mapping method according to an aspect includes converting, by a color space converter, a first color signal of an input image into a first luminance component and a pair of first chrominance components, controlling, by a saturation controller, a saturation of the first chrominance component for each control area using a saturation gain and outputting a second chrominance component, controlling, by a hue controller, a hue of the second chrominance component for each control area and outputting a third chrominance component, entirely controlling, by an overall controller, a saturation and a hue of the third chrominance component using overall saturation gains and overall hue gains and outputting a fourth chrominance component, and inversely converting.