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Related Experiment Video

Updated: Jan 19, 2026

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SuPeR: Milano Retinex implementation exploiting a regular image grid.

Michela Lecca, Stefano Messelodi

    Journal of the Optical Society of America. A, Optics, Image Science, and Vision
    |September 11, 2019
    PubMed
    Summary
    This summary is machine-generated.

    We introduce SuPeR, an optimized Milano Retinex algorithm that uses superpixels for faster image enhancement. This method improves processing speed while maintaining effective spatial color correction.

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    Area of Science:

    • Computer Vision
    • Image Processing
    • Computational Photography

    Background:

    • Milano Retinex algorithms enhance images using spatial and color information.
    • Current pixel-wise processing is computationally intensive, limiting real-time applications.

    Purpose of the Study:

    • To develop an efficient optimization of Milano Retinex algorithms.
    • To enable fast or real-time image processing using spatial color correction.

    Main Methods:

    • Proposed SuPeR (Superpixel Retinex) algorithm, an optimization of Milano Retinex.
    • Utilized superpixels (regular grid blocks) to partition the image.
    • Reworked pixel intensities channel-wise based on block maximum intensities and pixel distance.

    Main Results:

    • SuPeR demonstrates efficient optimization of local spatial color processing.
    • Experiments on real-world datasets show good performance compared to existing Milano Retinexes.

    Conclusions:

    • SuPeR significantly improves the speed of Milano Retinex algorithms.
    • The superpixel-based approach is effective for fast image enhancement.