Color Image Watermarking Based on Neural Networks

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This paper presents a color image watermarking scheme based on neural networks. A binary image watermark is embedded into the spatial domain of the host image. A fixed binary sequence is added to the head of the payload image watermark as the samples to train the neural networks. Each bit of the watermark is embedded in multiple positions. Because of the good adaptive and learning abilities, the neural networks can nearly exactly extract the payload watermark. Experimental results show good performance of the proposed scheme resisting common signal processing and geometric attacks.