Predictive Color Workflow for Graphic Arts
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Solution Overview
Problem
Current color management systems in graphic arts are complex and time-consuming, requiring multiple iterations to achieve predictable results across various devices and conditions, with high potential for user error due to the large number of correction permutations and inter-dependent settings.
Innovation Solution
A method and system that predict a device's color response using previously determined responses and new correction information, reducing the need for re-characterization, and incorporating prediction transforms into color profiles to simplify the management of color workflow settings across multiple devices and conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional color management methods are used with multiple iterations to achieve predictable color reproduction, then color accuracy is improved, but time consumption and device complexity increase significantly
Solution Approach 1:
The system performs preliminary characterization of device color responses and pre-calculates correction transforms during device setup or idle periods. This allows the color management system to have correction data ready in advance, eliminating the need for time-consuming iterative adjustments during actual color-critical operations.
Solution Approach 2:
The system creates a virtual model or profile of the device's color response characteristics through initial measurements. This digital copy or profile can then be used to predict and correct color behavior without requiring physical iterative testing, significantly reducing time while maintaining accuracy.
2Stability of the object's composition
If multiple correction transforms are applied to achieve accurate color reproduction across different devices, then color consistency is improved, but system complexity and potential for user error increase
Solution Approach 1:
The system combines multiple correction transforms into a single integrated color profile or transformation pipeline. Instead of managing separate tone correction, color correction, and gamut mapping transforms independently, the system merges these into a unified correction approach that maintains color consistency while reducing the number of user-managed components.
Solution Approach 2:
The system develops a universal color management approach that works across different device types (printers, scanners, monitors) through standardized profiling methods. This multi-functional system handles various device characteristics using a common framework, reducing complexity by eliminating the need for device-specific complex configuration procedures.
3Manufacturing precision
If iterative characterization and correction is performed to achieve accurate device response, then color reproduction quality is improved, but device utilization and productivity decrease
Solution Approach 1:
The system performs complete device characterization and correction transform calculation during idle periods or initial setup, before production work begins. This preliminary action ensures that all correction data is pre-computed and ready, allowing devices to operate at full productivity during actual work without interruption for iterative adjustments.
Solution Approach 2:
The system implements automatic device characterization and profile generation that requires minimal user intervention. The device or system automatically performs necessary measurements and calculations, reducing the need for manual iterative processes and allowing devices to remain productive while self-optimizing their color performance.
Data Source
AI summary
A method for predicting a color response of a device comprises: operating the device with image information wherein operating includes utilizing a first correction transform for modifying device color values; determining a first device response based on a device output associated with a device input wherein the device response includes a color response; obtaining a second correction transform; and predicting a modified color response of the device, applicable to operating the device while utilizing the second correction transform instead of the first correction transform, wherein predicting is based on the first color response and the first and second correction transforms.