Membrane Surface Color Transform for Printer Characterization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Color characterization for color rendering devices is challenging due to variations in physical conditions over time, leading to inconsistencies in color reproduction across devices and over time, as existing methods struggle to accurately describe local variations using global parametric transforms.
Innovation Solution
The method involves adapting a forward color transform using a parametric surface and a nonparametric residual transform, constructing a continuous and locally smooth membrane surface to characterize color transformations, allowing for accurate representation of device performance changes without requiring multiple densely sampled color patch sets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a global parametric surface transform is used to characterize color mapping, then computational efficiency is improved, but accuracy in describing local variations deteriorates
Solution Approach 1:
The patent segments the color transform into a global parametric surface component and local residual components. The global surface provides computational efficiency for overall color mapping, while local residual transforms capture region-specific variations. This segmentation allows the system to maintain both computational efficiency and accuracy by applying the appropriate transform level at each location.
Solution Approach 2:
The patent applies local quality by allowing different parts of the color gamut to have different transform characteristics. Local residual transforms are constructed for specific regions where the global parametric surface fails to accurately represent color mappings. This enables the system to maintain high accuracy in local variations while preserving computational efficiency through the global surface model.
2Measurement precision
If multiple densely sampled color patch sets are created over time to address device drift, then characterization accuracy is improved, but measurement time and complexity increase
Solution Approach 1:
The patent performs preliminary characterization to establish a global parametric surface model that captures the overall color mapping behavior. This preliminary action creates a baseline transform that remains valid over time, eliminating the need for frequent complete re-characterizations. The system only requires occasional updates to local residual components rather than dense repeated measurements.
Solution Approach 2:
The patent discards the need for multiple densely sampled color patch sets over time by using the time-invariant global parametric surface. Instead of repeatedly measuring and storing extensive color patch data, the system recovers accurate color predictions by combining the stable global surface with updated local residual information, significantly reducing measurement time and data requirements.
Data Source
AI summary
Methods and systems are presented for characterizing a printer, display or other color reproduction device in which a forward color transform having a parametric surface forward color transform and a nonparametric residual forward color transform is updated by adapting the parametric surface forward color transform using an input adaptation data set and a measured adaptation data set, generating a prediction data set in the second color space using the adapted parametric surface forward color transform and the nonparametric residual forward color transform, generating a prediction error data set in the second color space using the input adaptation data set and the prediction data set, generating a membrane forward color transform using the prediction error data set, and updating the forward color transform using the adapted parametric and nonparametric forward color transforms.