Digital watermarking based on neural networks for color images
Signal Processing - Special section on digital signal processing for multimedia communications and services
DCT-based image watermarking using subsampling
IEEE Transactions on Multimedia
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part III
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This paper presents a robust digital image watermarking scheme by using neural network detector. First, the original image is divided into four subimages by using subsampling. Then, a random binary watermark sequence is embedded into DCT domain of these subimages. A fixed binary sequence is added to the head of the payload watermark as the samples to train the neural network detector. Because of the good adaptive and learning abilities, the neural network detector can nearly exactly extract the payload watermark. Experimental results show good performance of the proposed scheme on resisting common signal processing attacks.