Dynamic Gamut Mapping for Display Power and Color Fidelity
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Solution Overview
Problem
Current imaging display technologies face challenges in maintaining color fidelity while optimizing power efficiency, particularly in adapting to varying image saturation levels and battery life conditions.
Innovation Solution
The implementation of a content adaptive gamut mapping process that converts input image pixel values into XYZ tristimulus values, using a saturation-dependent gamut mapping lookup table and decomposition matrix, and applying vector error diffusion to achieve efficient power management and image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a fixed gamut mapping process is used to convert input pixel values to display color values, then the device complexity is reduced, but the color fidelity deteriorates when image saturation levels vary
Solution Approach 1:
The patent implements dynamic gamut mapping by adjusting the mapping process based on the saturation level of the input image. The system calculates a saturation metric for each image and selectively applies different gamut mapping strategies (full gamut preservation vs. compressed gamut) depending on whether the image is saturated or unsaturated, thereby maintaining color fidelity across varying image content without requiring overly complex fixed-processing hardware
Solution Approach 2:
The system changes the gamut mapping parameters dynamically based on image saturation characteristics. When images are unsaturated, the system uses a compressed gamut mapping to conserve power. When images are saturated, it switches to full gamut preservation mode. This parameter adaptation allows the system to optimize between color fidelity and power consumption based on actual image content
2Manufacturing precision
If full gamut preservation is used for all images, then color fidelity is maintained, but power consumption increases
Solution Approach 1:
The system dynamically changes the gamut mapping parameters based on image saturation analysis. For unsaturated images, it applies compressed gamut mapping that reduces power consumption by utilizing fewer color subfields and lower display element activity. For saturated images, it switches to full gamut preservation mode to maintain color fidelity. This adaptive parameter adjustment resolves the contradiction between power consumption and color fidelity
Solution Approach 2:
The patent implements a dynamic power management strategy where the system transitions between different operational modes (full gamut vs. compressed gamut) based on real-time image content analysis. This dynamic adaptation allows the display to consume less power for unsaturated content while preserving color fidelity for saturated content, optimizing the trade-off between energy usage and visual quality
3Use of energy by moving object
If saturation-based adaptive gamut mapping is implemented, then power efficiency is improved, but device complexity increases
Solution Approach 1:
The patent segments the gamut mapping process into distinct pathways based on image saturation characteristics. The system divides image processing into saturated and unsaturated branches, each with its own optimized gamut mapping strategy. This segmentation allows the control logic to select the appropriate processing path based on simple saturation threshold checks, managing complexity through structured decision-making rather than monolithic complex algorithms
Data Source
AI summary
This disclosure provides systems, methods, and apparatus for generating images on a display. A multi-primary display can include control logic that converts input image data into the multi-primary color space employed by the display by mapping the input pixel values into the XYZ color space according to a gamut mapping function and then decomposing the XYZ tristimulus values into color subfields associated with the display's primary colors. For example, such a process can be used to covert image frames encoded in an RGB color space into a RGBW color space. In some implementations, the control logic can adapt the gamut mapping and/or the decomposition processes based on a saturation level of the image being processed.