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A novel watermarking technique based on iamge features and neural network is proposed. The watermark is the fusion of a binary copyright symbol and image feature label which is gotten by analyzing the image fractal dimension. Then the watermark is pretreated by Arnold transform in order to increase the security, and embedded into the multiwavelet transform domain. At the same time, the back propagation...
A robust watermarking scheme based on mean quantization and human visual system is proposed. Different from conventional quantization methods, each watermark bit is embedded by quantizing the mean value of a coefficient block with size 2times2 so as to make the embedded watermark more robust, and the account of modification is decided according to the characteristics of human visual system to gain...
A novel blind watermarking technique based on back propagation neural networks is proposed. The proposed watermarking technique hides a scrambled watermark into an image, and takes HVS characteristics into consideration during the watermark embedding process, then uses a back propagation neural network to learn the characteristics of the embedded watermark related to the watermarked image. With the...
A novel blind watermark algorithm based on the chaotic Chebyschev map is proposed. In order to enhance robustness and security of the embedded watermarking, a better chaotic sequence is generated by coupled Chebyschev map, and the original binary watermark is masked by the chaotic sequence. Then, a neural network is trained to memorize the relationship among pixels of each sub-block image. Finally,...
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