Automated digital watermarking methods using neural networks
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United States of America Patent
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Aug 22, 2006
Grant Date -
May 22, 2003
app pub date -
Apr 29, 2002
filing date -
Aug 28, 2001
priority date (Note) -
Expired
status (Latency Note)
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Abstract
Embodiments of the present invention provide digital watermarking methods that embed a digital watermark in both the low and high frequencies of an image or other production, providing a digital watermark that is resistant to a variety of attacks. The digital watermarking methods of the present invention optimize the strength of the embedded digital watermark such that it is as powerful as possible without being perceptible to the human eye. The digital watermarking methods of the present invention do this relatively quickly, in real-time, and in an automated fashion using an intelligent system, such as a neural network. The digital watermarking methods of the present invention may also be used in a variety of new applications, such as the digital watermarking of sensitive aircraft parts and military equipment.
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