SVR-Parameters Selection for Image Watermarking

Authors:
Chun-hua Li;Zheng-ding Lu;Ke Zhou
Affiliations:
Huazhong University of Science and Technology;Huazhong University of Science and Technology;Huazhong University of Science and Technology
Venue:
ICTAI '05 Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence
Year:
2005

Citing 0
Cited 2

A novel image watermarking scheme against desynchronization attacks by SVR revision

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An SVM-based robust digital image watermarking against desynchronization attacks

Signal Processing

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Abstract

An image digital watermarking technique using support vector regression (SVR) is proposed and researched in this paper. Firstly, the method of embedding and extracting watermarking from digital image is given. Then, the influence of SVR-learning parameters on the watermarking performance is analyzed, and the ideal value range of SVR-learning parameters for different images is given respectively. Finally, the results are validated with other images. Experimental results show that this technique can obtain good watermarking performance as well as good learning performance when RBF kernel is adopted with its width .. from 8 to 10, balanceable parameter C from 0.8 to 1, insensitive parameter ε from 0.008 to 0.01 respectively.