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The Neural Network Digital Watermarking Algorithm

Author: OuYangFeiFei
Tutor: ZhuCanYan
School: Suzhou University
Course: Electronics and Communication Engineering
Keywords: Digital Watermarking Associative Memory Hopfield network Human vision system Cepstrum analysis
CLC: TP309.7
Type: Master's thesis
Year: 2010
Downloads: 44
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In the 21st century , the digital image watermark technology has reached a very high standard , and information in the transmission cycle due to the appropriate encryption technology to become quite safe . And information security , information hiding technology development , fundamentally strengthened . The information is hidden to a certain extent different from the encryption technology . Therefore , this paper focuses on digital image watermark technology . In this article , the first an overview of the digital image watermark ( the concept of the origin, development in recent years ) ; general model of image watermarking system , embedded in the criteria and characteristics ; details of typical algorithms for image watermarking technology , the space domain , frequency domain and other typical image watermarking algorithm focuses on the characteristics and applications of digital image watermarking . On this basis , the paper , respectively, starting from the two aspects of the the watermark signal processing method as well as the form of combination of different application areas were given a modified form of the corresponding digital watermarking algorithm . Specifically, the paper according to the existing characteristics of image watermarking method , first introduced the neural network the watermark signal post-processing method , digital image watermarking algorithm based on neural network process and experimental results are given in detail . The algorithm using image scrambling technology to preprocess the watermark , the watermark signal noise . According to the human visual system , DCT and DWT combining the digital image watermark embedding . Next, the watermark extraction process , the extraction effect of the watermark , the associative memory function by Hopfield network powerful after-treatment to improve the quality of the extracted watermark . This algorithm processed by combining wavelet multi-resolution and discrete cosine transform method , and in the host image the human eye is not sensitive to the intermediate frequency region , the watermark information is embedded , while strengthening the watermark of the post-treatment process to ensure the transparency of the algorithm , and the corresponding experimental results are given . Finally, we summarize all the work , and look forward to the future research directions .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > General issues > Security and confidentiality > Encryption and decryption
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