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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. Oklch+: A Three-Parameter Extension of Oklab for Improved Color Difference Prediction

    Researchers have developed Oklch+, an enhanced color space designed to more accurately predict color differences than existing models like Oklab. This new system uses a three-parameter extension, incorporating power transformations and compression functions to better align with human perception of color. Evaluated against established datasets, Oklch+ demonstrates a significant improvement in accuracy, closely matching the performance of the more complex CIEDE2000 standard while using fewer parameters. AI

    IMPACT This research could lead to more perceptually accurate color interpolation and design tools, potentially impacting AI-driven image generation and editing.

  2. OKLCH-First Color Systems: 5 Patterns and the Wide-Gamut Wins

    The author advocates for using the OKLCH color system in web development, highlighting its perceptual uniformity and wide-gamut capabilities over the older HSL system. OKLCH ensures that changes in lightness are perceived consistently across different hues, simplifying the creation of color ramps and ensuring predictable results. The post details five practical patterns for implementing OKLCH, including generating full color ramps from a single base color and automatically determining text contrast based on background lightness. AI

    OKLCH-First Color Systems: 5 Patterns and the Wide-Gamut Wins

    IMPACT N/A