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Updated: Mar 16, 2026

Method to Measure Tone of Axial and Proximal Muscle
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Motion Driven Tonal Stabilization.

Oriel Frigo, Neus Sabater, Julie Delon

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |August 24, 2016
    PubMed
    Summary
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    This study introduces a fast, computationally light method to stabilize video color fluctuations caused by automatic camera settings. The technique ensures robust tonal appearance despite motion and occlusions, outperforming existing methods.

    Area of Science:

    • Computer Vision
    • Image Processing
    • Video Stabilization

    Background:

    • Automatic camera settings in consumer devices can lead to undesirable color shifts in video sequences.
    • These tonal fluctuations negatively impact the visual quality and consistency of recorded footage.

    Purpose of the Study:

    • To develop a fast and computationally efficient method for stabilizing tonal appearance in videos.
    • To address color fluctuations caused by automatic camera settings, ensuring robustness against motion and occlusions.

    Main Methods:

    • A minimally viable color correction model is employed.
    • Dominant motion estimation is utilized for effective stabilization.
    • A temporally weighted correction is implemented, driven by motion magnitude.

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    A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study
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    Last Updated: Mar 16, 2026

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    Using Eye-tracking to Assess the Relative Importance of Visual and Vestibular Input to Subcortical Motion Processing in the Roll Plane
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    Main Results:

    • The proposed method achieves significant improvements in tonal stability compared to state-of-the-art techniques.
    • The solution demonstrates high visual efficiency and is suitable for real-time processing.
    • Reduced computational complexity is a key advantage over existing approaches.

    Conclusions:

    • The developed method offers a robust and efficient solution for video tonal fluctuation stabilization.
    • Its speed and effectiveness make it suitable for real-time applications and consumer cameras.
    • This approach enhances video quality by maintaining consistent color appearance.