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Updated: Sep 30, 2025

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Color constancy with an optimized regularized random vector functional link based on an improved equilibrium

Zhiyu Zhou, Xingfan Yang, Zefei Zhu

    Journal of the Optical Society of America. A, Optics, Image Science, and Vision
    |March 17, 2022
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces an improved equilibrium optimizer (IEO) for color constancy, enhancing illumination estimation accuracy. The IEO-RRVFL algorithm optimizes network parameters, outperforming existing methods in accuracy and stability.

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    Area of Science:

    • Computer Vision
    • Artificial Intelligence
    • Image Processing

    Background:

    • Accurate illumination estimation is crucial for image quality.
    • Existing color constancy algorithms face challenges in optimizing complex network parameters.

    Purpose of the Study:

    • To propose a novel color constancy algorithm for improved illumination estimation accuracy.
    • To simultaneously optimize network structure and common parameters of the regularized random vector functional link (RRVFL) network.

    Main Methods:

    • Utilizing an improved equilibrium optimizer (IEO) with opposition-based learning for initializing search agents.
    • Mapping search agent segments to RRVFL parameters for simultaneous hyperparameter and common parameter optimization.
    • Implementing the IEO-RRVFL algorithm for light source color prediction and image correction.

    Main Results:

    • The IEO algorithm demonstrates superior convergence compared to random initialization.
    • The proposed IEO-RRVFL algorithm achieves higher accuracy in color constancy.
    • Experimental comparisons validate the enhanced stability and performance of the IEO-RRVFL algorithm.

    Conclusions:

    • The IEO-RRVFL algorithm offers a significant advancement in color constancy.
    • Simultaneous optimization of parameters leads to improved illumination estimation.
    • The proposed method provides a more accurate and stable solution for correcting images under unknown illumination.