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Robust, Error-Tolerant Photometric Projector Compensation.

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    This study introduces an error-tolerant projection method using non-linear color mapping for superior photometric compensation. It enhances image quality by minimizing artifacts from device calibration and surface changes.

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    Area of Science:

    • Computer Vision
    • Image Processing
    • Computational Photography

    Background:

    • Photometric compensation is crucial for accurate projected image reproduction.
    • Existing linear methods struggle with complex color processing in devices like DLP projectors.
    • Radiometric pre-calibration is often a prerequisite for effective compensation.

    Purpose of the Study:

    • To develop a novel error-tolerant optimization approach for high-quality photometric compensation.
    • To eliminate the need for radiometric pre-calibration of cameras and projectors.
    • To improve compensation quality, especially for devices with complex color processing.

    Main Methods:

    • Utilizing a non-linear color mapping function.
    • Employing sparse sampling of the projector's color gamut and non-linear scattered data interpolation for real-time per-pixel mapping.
    • Implementing an optional offline optimization step for local luminance adjustment to prevent out-of-gamut artifacts.
    • Integrating a drift measurement and analysis step with per-pixel compensation optimization to reduce artifacts from device movement.

    Main Results:

    • Achieved high-quality photometric compensation without radiometric pre-calibration.
    • Demonstrated improved compensation quality over linear methods on complex devices.
    • Successfully minimized out-of-gamut artifacts through automatic luminance adjustment.
    • Significantly reduced visibility of color artifacts caused by projector drift.

    Conclusions:

    • The proposed non-linear, error-tolerant approach offers robust photometric compensation.
    • This method enhances projection quality and is suitable for advanced display devices.
    • It provides a practical solution for reducing visual artifacts in real-world projection scenarios.