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Automated digital watermarking methods using neural networks

a neural network and automatic technology, applied in the field of digital information security, can solve the problems of inability to be adequately automated, labor-intensive conventional digital watermarking methods, lack of automaticity, etc., and achieve the effect of optimizing the strength of digital watermarks

Inactive Publication Date: 2006-10-26
NAJARIAN KAYVAN
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

"The present invention provides digital watermarking methods that can be used to embed a digital watermark in both the low and high frequencies of an image or other production. These methods optimize the strength of the embedded watermark so that it is as powerful as possible without being perceptible to the human eye. The methods can be used in a variety of new applications, such as watermarking sensitive aircraft parts, military equipment, and machines. The invention also includes a computer-readable medium and an automated watermarking method that creates a database and uses an intelligent system to generate scores for the quality of the productions, which are then used to optimize the strength of the watermark. Overall, the invention provides a more effective and efficient way to protect sensitive information from being copied or used without permission."

Problems solved by technology

In addition, the high-frequency sub-bands of a wavelet transform include the edges and textures of an image and the human eye is typically insensitive to changes in such sub-bands.
Although marginally effective with respect to some types of attacks, the conventional digital watermarking methods are vulnerable to attack if techniques such as low-pass filtering are used.
In addition, the conventional digital watermarking methods tend to be labor-intensive, relatively slow, and lack the ability to be adequately automated.

Method used

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Embodiment Construction

[0017] In a variety of embodiments and examples, the present invention provides automated methods, systems, and computer-readable media for digital watermarking using neural networks. In the description that follows, specific details are set forth in order to provide a thorough understanding of the present invention. It will be obvious, however, to one of ordinary skill in the art that the methods, systems, and computer-readable media of the present invention may be practiced with or without the inclusion of some or all of these specific details. For example, although the description that follows focuses on using a discrete wavelet transform (DWT) for the space-frequency decomposition of an image or other production, any other suitable frequency transformation may be used, including a discrete Fourier transform (DFT) or a discrete cosine transform (DCT). Likewise, although the description that follows focuses on the digital watermarking of “images,” any other suitable production may...

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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.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS [0001] This non-provisional patent application claims the benefit of U.S. Provisional Patent Application No. 60 / 315,223, entitled “Maximum-Strength Multi-Resolution Watermarking of Digital Products Using Neural Networks,” filed Aug. 28, 2001 and U.S. Non-Provisional patent application Ser. No. 10 / 134,255, entitled “Automated Digital Watermarking Methods Using Neural Networks,” filed Apr. 29, 2002. FIELD OF THE INVENTION [0002] The present invention relates generally to the field of digital information security. Specifically, the present invention relates to copyright protection for digital products, or digital watermarking. More specifically, the present invention relates to automated digital watermarking methods using neural networks. The methods of the present invention may also be applied to non-digital applications. BACKGROUND OF THE INVENTION [0003] The explosive growth of globally-distributed computer networks, such as the Internet and b...

Claims

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Application Information

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Patent Type & Authority Applications(United States)
IPC IPC(8): G09C5/00G06K9/00H04L9/00G06K9/36G06T1/00H04N1/32H04N21/2389
CPCG06T1/0028G06T1/0071G06T2201/0052H04N1/32154H04N1/3216H04N2201/327H04N1/3217H04N1/32192H04N1/32288H04N21/23892H04N2201/3233H04N1/32165
Inventor NAJARIAN, KAYVAN
Owner NAJARIAN KAYVAN
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