Scalable Color Management with Layered Metadata for Display Fidelity
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing image and video rendering technologies fail to accurately maintain the original appearance of video content across displays with differing capabilities, leading to noticeable distortions and artifacts due to inadequate handling of metadata.
Innovation Solution
A scalable color management system that employs varying levels of metadata to adjust image processing based on display characteristics, using metadata to predict and adaptively calculate color management parameters, ensuring faithful rendering of the original intent.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If metadata is associated with image data, then color management processing accuracy is improved, but device complexity increases
Solution Approach 1:
The metadata is divided into multiple levels (Level 1, Level 2, Level 3) with increasing detail. Level 1 provides basic display characteristics, Level 2 adds content-specific information, and Level 3 includes advanced color management data. This segmentation allows the system to handle metadata in manageable portions, improving accuracy without overwhelming complexity.
Solution Approach 2:
The system processes metadata in partial levels rather than requiring complete metadata sets. When Level 1 metadata is available, basic color management is applied. When Level 2 or Level 3 metadata becomes available, more sophisticated processing is applied. This partial action approach allows progressive improvement of accuracy without requiring full metadata processing capacity always.
2Manufacturing precision
If multiple levels of metadata are processed, then rendering fidelity is improved, but processing time increases
Solution Approach 1:
The color management processing is made dynamic by adjusting the level of metadata processing based on availability and requirements. The system dynamically selects which metadata levels to process, allowing faster processing when only basic levels are needed and more thorough processing when higher levels are available, thus optimizing the trade-off between fidelity and time.
Solution Approach 2:
Basic color management parameters are pre-calculated from Level 1 metadata in advance, so that when higher level metadata becomes available, only the additional refinements need to be computed. This preliminary action reduces the processing time required to achieve high fidelity rendering.
3Measurement precision
If adaptive parameter calculation is performed, then rendering accuracy is improved, but computational load increases
Solution Approach 1:
The system changes the parameters used in color management calculations based on the metadata level available. Different mathematical models and parameter sets are applied at different metadata levels, allowing accurate rendering without always using the most computationally intensive methods. This enables adaptive computational load matching the available information.
Data Source
AI summary
Several embodiments of scalable image processing systems and methods are disclosed herein whereby color management processing of source image data to be displayed on a target display is changed according to varying levels of metadata.