Dynamic Color Mapping for Imaging Systems with Resource Constraints
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Solution Overview
Problem
Imaging systems face substandard output due to resource limitations such as malfunctioning nozzles or inadequate ink levels, leading to wastage and downtime, as existing technologies fail to effectively adapt color mapping to compensate for these limitations.
Innovation Solution
The implementation of a method that models resource limitations to derive alternate color mappings, which are dynamically referenced through look-up tables to minimize the impact on perceived output color and image robustness, allowing the imaging system to continue operating with minimal performance compromise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the imaging system continues to use the original color mapping despite resource limitations, then the device complexity remains low, but the output quality degrades and resource lifespan is reduced
Solution Approach 1:
The system pre-calculates and stores multiple alternate color mappings in look-up tables before resource limitations occur. When a nozzle malfunctions or ink becomes inadequate, the system can immediately switch to a pre-computed alternate mapping without real-time calculation, maintaining output quality while adapting to the new resource constraints.
Solution Approach 2:
The system changes the color mapping parameters dynamically based on detected resource limitations. By adjusting the color transformation parameters to use alternate mappings that compensate for missing nozzles or low ink levels, the system maintains perceived output color accuracy despite physical resource degradation.
2Duration of action of stationary object
If the imaging system adapts color mapping to compensate for resource limitations, then resource lifespan is extended and wastage is reduced, but the device complexity increases
Solution Approach 1:
Multiple alternate color mappings are pre-computed and stored in look-up tables before resource exhaustion occurs. This allows the system to extend resource lifespan by switching to alternate mappings that work around limitations, without requiring complex real-time calculations that would increase processing complexity.
Solution Approach 2:
The system creates copy versions of the original color mapping (alternate mappings) that are stored for later use. These copied mappings are adapted to work with degraded resources, allowing the system to continue operating with extended resource lifespan while avoiding the need to generate complex mappings on-the-fly.
3Reliability
If the imaging system uses alternate color mappings to maintain output quality, then perceived output color is preserved, but the processing time and computational resources increase
Solution Approach 1:
Alternate color mappings are pre-calculated and stored in look-up tables before they are needed. When a resource limitation is detected, the system simply retrieves the appropriate pre-computed mapping rather than calculating it in real-time, thus preserving perceived output color while minimizing additional processing time.
Solution Approach 2:
Pre-computed copy versions of color mappings are stored for different resource limitation scenarios. The system copies the appropriate mapping from storage based on the current limitation state, avoiding time-consuming real-time calculations while maintaining accurate perceived output color.
4Adaptability or versatility
If the imaging system monitors and models resource limitations dynamically, then adaptability improves and performance is maintained, but the device complexity and operational complexity increase
Solution Approach 1:
The system continuously monitors resource status (nozzle functionality, ink levels) and uses this feedback to automatically select and switch to appropriate alternate color mappings. This feedback mechanism enables high adaptability to resource constraints while keeping operational complexity manageable through automated decision-making rather than manual intervention.
Solution Approach 2:
The system pre-models various resource limitation scenarios and prepares corresponding alternate color mappings in advance. When actual limitations are detected, the system matches the current state to pre-modeled scenarios and applies the appropriate mapping, reducing operational complexity by avoiding complex real-time analysis of every possible limitation scenario.
Data Source
AI summary
A method for color mapping is disclosed based on obtaining a measurement of one or more characteristics of an imaging system. A set of color mappings are provided and the color mapping is selected based on the measurement. Each of the color mappings enables a mapping from a first color space to Neugebauer Primary area coverage vector space. A method for generating a color mapping is disclosed.