Abstract

This publication describes techniques for clustering-based display calibration. In aspects, a calibration manager groups displays in a manufacturing line into clusters based on similarities of the displays’ color and white point properties. The clusters can be any quantity of displays and include a “seed” display. The calibration manager generates a calibration profile for the seed display of each cluster. The calibration manager may use an industry standard, such as ΔE00 (Delta E 2000), to determine similarity between displays’ color properties and populate the clusters. Once a cluster is populated with similar displays, the calibration manager applies the calibration profile generated for the seed display to all displays in that cluster. By so doing, the calibration manager conserves time in the manufacturing line, improves time to market, and increases supply, while maintaining calibration accuracy comparable to individual-based display calibration.

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.

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