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Updated: Jan 20, 2026

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Color Control Functions for Multiprimary Displays II: Variational Robustness Optimization.

Carlos Eduardo Rodriguez-Pardo, Gaurav Sharma

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |September 4, 2019
    PubMed
    Summary

    This study develops an algorithm to compute optimal color control functions (CCFs) for multiprimary displays. The new CCFs improve color accuracy and smoothness, especially with more display primaries.

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    Area of Science:

    • Color Science
    • Display Technology
    • Computational Imaging

    Background:

    • Analyzing the robustness of color control functions (CCFs) is crucial for multiprimary displays.
    • Previous work introduced a framework and variational minimization for robust CCFs, focusing on smoothness and gray axis invariance.

    Purpose of the Study:

    • To develop a numerical algorithm for computing optimal CCFs based on variational principles.
    • To assess the performance of these variationally optimal CCFs for multiprimary displays.

    Main Methods:

    • Utilizing calculus of variations to derive an algorithm for numerical computation of CCFs.
    • Implementing the algorithm to determine optimal CCFs for various multiprimary display designs.

    Main Results:

    • The proposed algorithm successfully computes optimal CCFs.
    • Variationally optimal CCFs demonstrate improved smoothness and invariance compared to alternatives.
    • Performance improvements increase with a higher number of display primaries.

    Conclusions:

    • The developed variational approach provides a robust method for optimizing CCFs in multiprimary displays.
    • The optimal CCFs enhance perceptual color preservation and invariance under display and observer variations.