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Digital Watermarking Technology Based on Support Vector Machine

Author: FuWeiMan
Tutor: LvXiuLi
School: Northeast University of Petroleum
Course: Measuring Technology and Instruments
Keywords: Digital Watermarking Discrete wavelet transform (DWT) Support Vector Machine (SVM) Robustness
CLC: TP309.7
Type: Master's thesis
Year: 2011
Downloads: 62
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Abstract


With the rapid development of computer network technology , multimedia information , such as digital images , audio , video , and so on can be extensive and rapid spread of great convenience to people's lives . However, on the other hand, the owner of the copyright of multimedia information by serious violations . Therefore , the digital watermarking technology has been developed rapidly in recent years , digital watermarking algorithm after another , especially in digital watermarking algorithms and machine learning combine to become the trend of the research . This paper studies the discrete wavelet transform domain , based on support vector regression (SVR) digital watermarking algorithm . First digital image layer of discrete wavelet transform , due to the existence of a complex nonlinear relationship between the layer of wavelet coefficients , by means of the excellent ability of nonlinear regression support vector machine , in a layer of low-frequency random select the P wavelet coefficients 3 × 3 sub-block to the wavelet coefficients of the sub-block neighborhood support vector regression machine input training samples , to the center of the sub-blocks of wavelet coefficients for support vector regression machine output training samples , using the training sample to training support vector regression machine , you can get the relational model of the wavelet coefficients of wavelet coefficients and the center of the 3 × 3 sub-block neighborhood ; then in a layer of low-frequency , according to the key , select the embedding position of the watermark will be embedded in the position where the wavelet coefficients 3 neighborhood as input SVR trained , according to the relational model can predict Center wavelet coefficients to adjust the original center of the wavelet coefficients according to the predicted value and the watermark information , watermark embedding . The extraction of the watermark without the original image , the extraction algorithm . The experimental results show that the good imperceptibility not attacked when the extracted watermark with the original watermark is fully consistent . Attack test watermarked image and extracted watermark information and bit error rate of the algorithm can effectively resist most of the attacks , such as in high-quality JPEG compression , blur, sharpen, mosaic , histogram equalization and joint Strike . The security of the algorithm is good , there is practical value .

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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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