Color Gamut Conversion Model for Display Color Enrichment

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Solution Overview

Problem

Conventional color compensation techniques fail to fully achieve color enrichment in display devices due to neglecting the color characteristic and gamut range of the display device itself, leading to increased hardware costs and CPU calculation burdens, and potential image delays or flickering.

Innovation Solution

A method and module for regulating color distribution by converting color gamuts using reference points, including calculating a converting model based on reference points in the same color space to align the color gamut of a target display with that of a current display, thereby considering the display device's characteristics.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If an extra hardware device (color enrichment chip or color corrector) is used to improve color hue, then color performance is improved, but hardware cost increases

Engineering Contradiction:
Improvecolor performanceVSAvoidhardware cost
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent creates a virtual color gamut conversion model that replicates the function of physical color correction hardware through software algorithms. The converting model calculates color transformation matrices based on reference points from both the current display's color gamut and the target color gamut, enabling color enrichment without additional hardware components.

Inventive Principle:
Principle #26Copying

Solution Approach 2:

The patent replaces the mechanical/optical color correction hardware system with a computational software system. By using color space transformation algorithms and matrix operations on the video signal data, the system achieves color gamut expansion that previously required physical color enrichment chips or correctors.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Reliability

If CPU performs color enrichment software to improve color hue, then color performance is improved, but calculation burden of CPU increases

Engineering Contradiction:
Improvecolor performanceVSAvoidCPU calculation burden
Core Design Contradiction:
ReliabilityVSUse of energy by moving object

Solution Approach 1:

The patent pre-calculates color transformation matrices and stores them in lookup tables or configuration files. The converting model is established beforehand based on the display device's color characteristics and the target color gamut, so that during actual video playback, only simple matrix multiplication operations are required rather than complex real-time calculations.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent transforms the color enrichment problem from a complex pixel-by-pixel processing task into a parameter-based transformation problem. By defining color gamut conversion through matrix operations on color space parameters (using reference points and transformation coefficients), the computational complexity is significantly reduced while maintaining color accuracy.

Inventive Principle:
Principle #35Parameter changes

3Manufacturing precision

If gamma ramps are recalculated when user regulates color parameters, then color accuracy is improved, but image delay or flickering occurs due to slow calculation speed

Engineering Contradiction:
Improvecolor accuracyVSAvoidimage delay
Core Design Contradiction:
Manufacturing precisionVSLoss of time

Solution Approach 1:

The patent pre-establishes the converting model and stores transformation parameters that can be quickly applied during color regulation operations. When users adjust color parameters through the regulation interface, the system retrieves and applies pre-computed transformation matrices rather than performing full recalculation, eliminating image delay and flickering while maintaining color accuracy.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent creates a dynamic color regulation system where the converting model can be quickly adjusted based on user input without requiring complete recalculation. The system maintains a base conversion model and applies incremental adjustments based on user-regulated parameters, enabling real-time color modification without performance degradation.

Inventive Principle:
Principle #15Dynamics

4Ease of manufacture

If conventional color enrichment technique is used without considering display device color characteristic, then processing is simplified, but color enrichment effect is not fully achieved

Engineering Contradiction:
Improveprocessing simplicityVSAvoidcolor enrichment effect
Core Design Contradiction:
Ease of manufactureVSReliability

Solution Approach 1:

The patent applies different color transformation parameters specifically tailored to the target display device's color characteristics. By using reference points from the actual display's color gamut and creating a customized converting model, the system optimizes color enrichment for each specific device rather than applying generic color correction, thereby achieving superior color enhancement effects.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The patent dynamically adjusts color transformation parameters based on the display device's measured color characteristics. The system determines the display's color gamut range and uses this information to configure the converting model's transformation matrices, ensuring that color enrichment is optimized for the specific hardware capabilities of each display device.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS8390550B2Method and module for regulating color distribution
Publication Date: 2013.03.05 ASUSTEK COMPUTER INC
  • US8390550B2 patent drawing
  • US8390550B2 patent drawing
  • US8390550B2 patent drawing

AI summary

The invention relates to a method and module for regulating color distribution. In this method, a reference point in a first gamut and a second reference point in a second gamut are found, and then the first gamut is converted to the second gamut based on the first and second reference point.