Color Gamut Mapping Using Segmented 18-bit Processing
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Solution Overview
Problem
Existing display technologies face challenges in accurately mapping color gamuts between different devices due to non-linear signal distortions and the limitations of 8-bit resolution, which become inadequate for modern high-definition displays with varying gamuts.
Innovation Solution
An integrated circuit package and method for color gamut mapping that converts input video signals from a first format to a higher resolution, maps them between color gamuts, and then de-resolves them to a desired output format, using 18-bit processing to achieve high-fidelity color representation across diverse display devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If 8-bit resolution is used for color signal processing, then cost is reduced and compatibility with legacy devices is maintained, but color fidelity and gamut mapping accuracy deteriorate for modern high-definition displays
Solution Approach 1:
The processing pipeline is segmented into distinct stages: gamma correction, color space conversion, gamut mapping, and dithering. Each stage processes the signal at appropriate precision levels, with high-precision 18-bit processing applied specifically during gamut mapping where it is most needed, while other stages use lower precision to reduce overall cost.
Solution Approach 2:
The patent changes the bit depth parameter from the standard 8-bit to 18-bit specifically for the gamut mapping operation. This parameter change enables accurate representation of colors during the critical mapping process from source gamut to display gamut, while the final output is converted back to 8-bit for compatibility, thus achieving high fidelity only where necessary.
2Measurement precision
If high-resolution 18-bit processing is applied throughout the entire video processing pipeline, then color fidelity is improved, but processing complexity and cost increase significantly
Solution Approach 1:
The processing pipeline is segmented into distinct stages: gamma correction, color space conversion, gamut mapping, and dithering. Each stage processes the signal at appropriate precision levels, with high-precision 18-bit processing applied specifically during gamut mapping where it is most needed, while other stages use lower precision to reduce overall cost.
Solution Approach 2:
Instead of applying full 18-bit processing throughout the entire pipeline, the patent applies high-precision processing partially - only during the gamut mapping stage where it provides the most benefit. This partial application of high precision reduces overall processing complexity while maintaining color fidelity where it matters most.
3Adaptability or versatility
If gamma correction is applied using legacy 2.2 gamma function, then compatibility with traditional CRT displays is maintained, but accuracy deteriorates for modern displays with varying gamma characteristics
Solution Approach 1:
The gamma correction function is made dynamic rather than static. The system determines the actual gamma value of the display device and applies the appropriate correction function accordingly. This dynamic adaptation allows the same system to work accurately with both legacy CRT displays (gamma 2.2) and modern displays with different gamma characteristics.
Solution Approach 2:
The gamma parameter is changed from the fixed legacy value of 2.2 to the actual measured gamma value of the display device. This parameter change enables accurate gamma correction for modern displays while maintaining compatibility through automatic detection and adaptation to different display types.
Data Source
AI summary
Methods and systems are described for conducting gamut mapping of color video signals from a first color gamut associated with video source to a second color gamut associated with a receiving display device.