Color Infrastructure Transformation Engine for Consistent Rendering
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Solution Overview
Problem
Color management systems face challenges in ensuring consistent color representation across different devices and media types due to varying display technologies, lighting conditions, and media transformations, leading to user frustration and inefficiency.
Innovation Solution
A multimedia color management system utilizing a Color Infrastructure Transformation Engine (CITE) with sequential transform, optimization, and execution components to transform source color content into destination color content, employing an intermediate color space like SCRGB and gamut mapping models to maintain color consistency across devices and media types.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If color content is transformed across different devices and media types, then color versatility and adaptability are improved, but color consistency and reliability deteriorate
Solution Approach 1:
The patent introduces an intermediate color space (SCRGB) as a mediator between source device color spaces and destination device color spaces. This intermediate space serves as a common reference frame that enables consistent color transformation across diverse devices while maintaining color accuracy. The sequential transform process uses this intermediary to bridge the gap between different color management systems.
Solution Approach 2:
The color transformation process is divided into sequential transforms, where each transform handles a specific device or media type independently. This segmentation allows each transformation step to be optimized and controlled separately, improving overall color consistency while maintaining adaptability to different devices through multiple discrete transformation stages.
2Adaptability or versatility
If multiple transform operations are performed to map color content across devices, then color adaptability is improved, but processing complexity and time increase
Solution Approach 1:
The system pre-calculates and stores transform parameters and lookup tables for common device combinations. This preliminary action allows the actual color transformation to reference pre-computed data rather than performing complex real-time calculations, significantly reducing processing time while maintaining the ability to handle multiple device types through the sequential transform framework.
3Adaptability or versatility
If color content is transformed through multiple intermediate steps, then color adaptability across devices is improved, but computational complexity increases
Solution Approach 1:
The intermediate color space serves as a simplifying intermediary that breaks down complex multi-device color transformations into manageable sequential steps. Each transform in the sequence handles a specific transition, reducing the overall computational complexity compared to attempting direct transformations between all possible device pairs.
Solution Approach 2:
The complex color transformation problem is segmented into multiple simpler transform operations, where each operation handles a specific device transition. This segmentation reduces the complexity of individual transform calculations while achieving the same overall color adaptability through the composition of multiple simpler steps.
Data Source
AI summary
A color management system is described herein. Various embodiments of a method described herein can include receiving source color content that is associated with a source device, and transforming the source color content into destination color content for rendering on one or more destination devices. Various embodiments of an apparatus described herein can include a color infrastructure transformation engine that further includes a sequential transform component, which is adapted to receive source color content and to create a transform to facilitate mapping the source color content to destination color content. The color infrastructure transformation engine can also include a transform optimization component that is adapted to receive the transform and to create an optimized transform table based on the transform, and a transform execution component that is adapted to receive the optimized transform table and to generate the destination color content based thereon.