一种基于LCH颜色空间划分的显示设备色域映射方法

By dividing the LCH color space into intervals and training a neural network model, the problems of color distortion and low efficiency in color gamut mapping of display devices are solved, achieving efficient color management and consistent mapping.

CN120526694BActive Publication Date: 2026-07-17BEIJING INST OF TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
BEIJING INST OF TECH
Filing Date
2025-06-23
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing color gamut mapping methods for display devices are difficult to adapt to the differences in color characteristics of different devices, resulting in color distortion, low mapping efficiency, and high computational resource consumption.

Method used

By dividing the LCH color space into multiple cubic or spherical regions, a specific neural network model is trained for each region to perform refined color characteristic processing, and the mapping model parameters are stored in a configuration file to facilitate color gamut mapping for different devices and scenarios.

Benefits of technology

It achieves color consistency and accuracy across display devices, improves the efficiency and effectiveness of color management, and is highly adaptable to various display devices.

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Abstract

本发明公开一种基于LCH颜色空间划分的显示设备色域映射方法,实现了显示设备色域的高精度映射,涉及显示设备技术领域。该方法包括:通过采集并计算显示设备的光谱能量分布和XYZ色度值,将原始色域空间细分为多个立方体或球体区域,每个区域分别对应特定的明度、饱和度和色相范围,并利用神经网络模型进行颜色转换规律的学习与优化,从而确保了映射的准确性;同时,通过配置文件的存储与调用,增强了方法的灵活性和便捷性,为不同设备和场景下的色彩管理提供了高效的解决方案,显著提升了显示设备间色域映射的精确度和适应性,实现了工业界各类显示设备间的高效色域映射。
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Citation Information

Patent Citations

  • Display device chromaticity characterization method, device, medium and product

    CN118192922A

  • Mobile phone screen color gamut correction method and system

    CN119339686A