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  • FRIEREN: A Lightweight System for Face Resizing Image Detail Quality Evaluation via Robust Estimation of Image Naturalness
    FRIEREN: A Lightweight System for Face Resizing Image Detail Quality Evaluation via Robust Estimation of Image Naturalness

    Yuan-Kang Lee , Kuan-Lin Chen , Jian-Jiun Ding

    IEEE APCCAS 2025

    FRIEREN, a novel no-reference image quality assessment, effectively and accurately evaluates the face detail quality scaled by different interpolations with low computational complexity. From human perception, the ranking of detail qualities should be: Lanczos > bicubic > bilinear > nearest-neighbor interpolation. It is recommended to zoom in on-screen to observe the different visual effects of different interpolations.

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