Scalable Color Management Across Displays Using Metadata Levels
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Solution Overview
Problem
Existing image and video rendering technologies fail to accurately maintain the original appearance of video content across displays with varying 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 maintain the intended appearance of video content across different displays.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If metadata is associated with image data, then color management processing accuracy is improved, but system complexity increases
Solution Approach 1:
The patent segments metadata into multiple levels (Level 1: basic display parameters, Level 2: content-specific parameters, Level 3: advanced rendering parameters). This allows the system to process only the necessary metadata level for each rendering scenario, improving accuracy when needed while reducing complexity when metadata is minimal or absent.
Solution Approach 2:
The system dynamically adapts its color management processing based on the metadata level detected in the image data. When metadata is present, the system activates enhanced processing algorithms; when metadata is absent, it uses default processing. This dynamic behavior allows the system to maintain high accuracy when possible while avoiding unnecessary complexity in simpler scenarios.
2Reliability
If multiple levels of metadata are implemented, then video fidelity is improved, but processing time increases
Solution Approach 1:
The patent implements partial processing by applying different processing depths based on metadata availability. When only basic metadata is present, the system applies lighter processing algorithms. When comprehensive metadata is available, it applies full processing algorithms. This partial action approach ensures high fidelity when possible while reducing processing time when metadata is limited.
Solution Approach 2:
The system performs preliminary detection of metadata levels before executing color management processing. This preliminary action allows the system to pre-determine the appropriate processing path and allocate computational resources accordingly, reducing overall processing time by avoiding unnecessary processing steps when metadata is insufficient for enhanced processing.
3Manufacturing precision
If adaptive parameter calculation is performed, then rendering accuracy is improved, but computational load increases
Solution Approach 1:
The patent changes the parameter calculation approach based on metadata availability. When metadata is present, the system uses metadata-driven parameter calculation for high accuracy rendering. When metadata is absent, it switches to default parameter values with simplified calculations. This parameter change strategy maintains rendering accuracy when possible while reducing computational load in simpler scenarios.
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.