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Updated: Apr 18, 2026

A Prediction Error-driven Retrieval Procedure for Destabilizing and Rewriting Maladaptive Reward Memories in Hazardous Drinkers
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On local prediction based reversible watermarking.

Ioan-Catalin Dragoi, Dinu Coltuc

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |January 27, 2015
    PubMed
    Summary
    This summary is machine-generated.

    This study reduces computational complexity in reversible watermarking by predicting pixel groups instead of individual pixels. Halving the cost for pairs maintains performance, while groups of three or four offer further complexity reduction with minimal impact.

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    A Prediction Error-driven Retrieval Procedure for Destabilizing and Rewriting Maladaptive Reward Memories in Hazardous Drinkers
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    Area of Science:

    • Digital Image Processing
    • Information Security
    • Data Hiding

    Background:

    • Reversible watermarking techniques embed data without altering the original image.
    • Local prediction methods in difference expansion (DE) reversible watermarking offer high performance.
    • Current DE methods require significant computational cost due to per-pixel prediction calculations.

    Purpose of the Study:

    • To investigate methods for reducing the computational complexity of DE reversible watermarking.
    • To explore the feasibility of group-based prediction instead of pixel-based prediction.
    • To evaluate the trade-off between computational complexity and watermarking performance.

    Main Methods:

    • Developed a novel approach using group-based least squares prediction for DE reversible watermarking.
    • Implemented and tested predictors for pairs, triplets, and quadruplets of pixels.
    • Focused on prediction within a rhombus defined by horizontal and vertical neighbors.
    • Ensured predictor recovery at the detection stage.

    Main Results:

    • Computing predictors for pairs of pixels halved the computational cost without performance degradation.
    • Predicting groups of three and four pixels reduced complexity to one-third and one-fourth, respectively.
    • A minor performance loss was observed when using larger pixel groups.

    Conclusions:

    • Group-based prediction is an effective strategy to reduce computational complexity in DE reversible watermarking.
    • Predicting pixel pairs offers a significant computational advantage with no loss in performance.
    • The proposed method balances computational efficiency and watermarking security.