Fast Spectral Color Measuring via Gamut Boundary Subset Selection
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Solution Overview
Problem
Color spectrophotometers face challenges in maintaining measurement cycle speed while ensuring color consistency and quality, particularly in the rapid rendering of digital images, as they typically measure all spectral reflectance factors, which is inefficient and increases memory consumption.
Innovation Solution
A method that uses a subset of spectral ranges determined by selecting colors based on gamut boundaries, adding spectral ranges with significant reflectance values, and employing techniques like N-dimensional device-independent color systems and clustering to reduce measurement cycles without compromising quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If all spectral reflectance factors are measured, then measurement precision is improved, but measurement cycle time increases
Solution Approach 1:
The patent extracts only the essential spectral ranges needed for accurate color measurement from the complete spectral reflectance curve. By identifying and removing redundant spectral data, the system achieves fast color measurement without sacrificing measurement precision, directly resolving the contradiction between comprehensive measurement and measurement speed.
Solution Approach 2:
The patent applies local quality by treating different spectral ranges differently - measuring some ranges with high precision while others can be measured with lower precision or skipped entirely. This selective measurement approach optimizes the balance between overall measurement accuracy and measurement speed by allocating measurement resources where they are most needed.
2Reliability
If all spectral ranges are measured, then color consistency is improved, but device complexity increases
Solution Approach 1:
The patent extracts and identifies the minimum necessary spectral ranges required for maintaining color consistency. By removing unnecessary spectral measurement components and processing steps, the system reduces device complexity while preserving the essential functionality needed for reliable color measurement.
3Loss of information
If complete spectral data is collected, then analytics quality is improved, but memory consumption increases
Solution Approach 1:
The patent extracts and retains only the essential spectral information needed for accurate color analytics while discarding redundant data. This selective data retention approach maintains the quality of color analysis by preserving critical spectral characteristics while significantly reducing the memory resources required to store and process spectral measurements.
Data Source
AI summary
Method of color measuring a color of a rendered copy of a digital image, by a color-measuring-device (3000) for color measuring in a plurality of spectral ranges (r1 . . . rQ); wherein said method comprises the step: measuring said color is measured in a sub-set (s1 . . . sM; 3305) of said plurality of spectral ranges (r1 . . . rQ); and wherein said sub-set (s1 . . . sM) is determined by: selecting a color of a gamut boundary of said digital image (1200); and determining of said color for said plurality of spectral ranges (r1 . . . rQ) corresponding spectral reflectance factors (v1 . . . vQ); and adding a spectral range (ri), having a minimum and maximum spectral reflectance factor, to said sub-set (s1 . . . sM) wherein its corresponding spectral reflectance value (vi) is larger than 10% of said maximum spectral reflectance factor minus said minimum spectral reflectance factor.