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    This study introduces Hue-plane Preserving Color Correction by Weighted Constrained Matrixing (HPPCC-WCM), a novel method for accurate color correction. The technique enhances stability and precision by optimizing matrix weighting for device-dependent RGB to XYZ color transformations.

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    Area of Science:

    • Color Science
    • Computer Vision
    • Image Processing

    Background:

    • Color correction transforms device-dependent RGB values to device-independent XYZ color values.
    • Existing Hue-plane Preserving Color Correction (HPPCC) methods use local matrices but lack optimization and continuity.
    • Previous methods exhibit limitations in transitions between color subregions.

    Purpose of the Study:

    • To introduce a new, optimized approach for Hue-plane Preserving Color Correction (HPPCC).
    • To improve the accuracy and stability of color correction algorithms.
    • To address limitations in continuity and optimization of existing HPPCC methods.

    Main Methods:

    • Developed Hue-plane Preserving Color Correction by Weighted Constrained Matrixing (HPPCC-WCM).
    • Employs hue-angle specific weighted matrixing using constrained 3x3 matrices.
    • Calculates transformation matrices as a normalized weighted sum based on hue-angle proximity.

    Main Results:

    • The HPPCC-WCM method demonstrates improved accuracy and stability.
    • Weighted matrixing provides local influence based on hue-angle differences.
    • Optimized weighting function enhances global accuracy in color transformations.

    Conclusions:

    • HPPCC-WCM offers a significant advancement in color correction technology.
    • The method provides superior performance compared to state-of-the-art techniques.
    • This approach enhances the reliability and precision of converting RGB to XYZ color values.