Color Representation System Deferring Binding for Accuracy
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Solution Overview
Problem
Current color representation systems, such as those based on the CIE 1931 XYZ model, are inadequate for accurately and precisely representing color in a device-independent, person-independent, and time-independent manner due to variations in human color perception and environmental factors, leading to inconsistencies in color reproduction across different devices and viewing conditions.
Innovation Solution
The system retains spectral information and dynamic range data, allowing for optimized color processing and presentation by deferring color representation binding until the actual presentation device is used, and incorporating factors like viewer adaptation, surround information, and inter-observer variations to improve color accuracy and precision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If CIE 1931 XYZ color model is used for color representation, then device independence is achieved, but color accuracy deteriorates due to human perception variations and environmental factors
Solution Approach 1:
The patent segments the color representation process into multiple independent components: spectral power distribution measurement, color matching function selection based on viewing conditions, and adaptive color space transformation. This allows the system to maintain device independence while accounting for variations in human perception and environmental factors by selecting appropriate color matching functions for different viewing conditions.
Solution Approach 2:
The patent implements dynamic adaptation of color representation by selecting color matching functions based on measured viewing conditions (illumination, surround, observer characteristics). The system dynamically adjusts the colorimetric model to match the actual viewing environment, thereby maintaining color accuracy across different devices and conditions while preserving device independence.
2Device complexity
If standard color matching functions are used for all viewing conditions, then system complexity is reduced, but color precision deteriorates due to inter-observer variations and environmental factors
Solution Approach 1:
The patent changes the parameters of the colorimetric model based on measured viewing conditions. Instead of using fixed color matching functions, the system selects from multiple sets of color matching functions (e.g., CIE 1931 2-degree, CIE 1964 10-degree, age-adjusted functions) based on the actual viewing environment and observer characteristics, thereby improving color precision without significantly increasing system complexity.
Solution Approach 2:
The patent incorporates feedback mechanisms that measure actual viewing conditions (illumination spectrum, surround luminance, observer age) and use this information to select appropriate color matching functions. This closed-loop approach ensures that the color representation accurately reflects the actual viewing conditions while maintaining a manageable system complexity through automated selection algorithms.
3Productivity
If color representation is bound to specific devices early in the process, then processing efficiency is improved, but color consistency deteriorates across different presentation devices and viewing conditions
Solution Approach 1:
The patent performs preliminary measurement and characterization of viewing conditions (illumination, surround, observer characteristics) before binding the color representation to any specific device. This preliminary action captures the essential parameters needed for accurate color reproduction, allowing efficient processing while maintaining color consistency across different presentation devices through subsequent adaptive transformation.
4Measurement precision
If spectral information is retained throughout processing, then color accuracy is improved, but data quantity and processing complexity increase
Solution Approach 1:
The patent extracts only the essential spectral information needed for color accuracy (spectral power distribution at key wavelengths, viewing condition parameters) while discarding redundant data. This extraction approach maintains color accuracy by preserving the critical spectral characteristics necessary for accurate colorimetric transformation, while reducing data quantity to manageable levels for practical processing and storage.
Data Source
AI summary
A method and system for accurate and precise representation of color for still and moving images, particularly sequences of digitized color images. Spectral and/or extended dynamic range information is retained as images are captured, processed, and presented during color adjustment. Using this extra spectral information, various methodologies for further presenting or processing the color within these images can be optimized. Presentation-device independence is achieved not by attempting to discover a device-independent intermediate representation, but rather by deferring the binding and mapping of color representation onto a presentation device until its actual use.