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    This study introduces an illumination-guided video composition method to reduce artifacts and improve spatial-temporal consistency. The new approach ensures seamless blending and temporal coherence in videos, even with varying illumination.

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    Area of Science:

    • Computer Vision
    • Image Processing
    • Video Editing

    Background:

    • Video composition aims to seamlessly blend source video patches into target scenes.
    • Existing methods often produce artifacts and lack spatial-temporal consistency, especially with changing illumination.

    Purpose of the Study:

    • To propose an illumination-guided video composition method using a unified spatial and temporal optimization framework.
    • To achieve globally consistent composition results and maintain temporal coherency.

    Main Methods:

    • Iteratively compute a spatial-temporal blending boundary.
    • Adaptively mix gradient fields based on gradients and inter-frame color differences.
    • Optimize luminance gradients for temporal consistency and extend mean-value cloning to reduce blending errors.

    Main Results:

    • The proposed method produces globally consistent composition results.
    • Maintains temporal coherency and reduces artifacts around blending regions.
    • Effectively handles variations in illumination intensity between source and target videos.

    Conclusions:

    • The illumination-guided method offers high-quality video composition.
    • It effectively addresses limitations of previous video composition techniques.
    • The unified optimization framework ensures seamless and temporally coherent video blending.