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The document presents a machine learning-based adaptive watermark decoding scheme that enhances the extraction of message bits from distorted watermarked images, particularly under anticipated attacks like JPEG compression. By treating bit extraction as a binary classification problem, the proposed method utilizes support vector machines (SVM) and artificial neural networks (ANN) to adaptively modify the decoding strategy, achieving improved accuracy compared to traditional hard decoders. Experimental resul

Author

luiz7eduardo7

Language

EN