|Table of Contents|

[1] Wang Zhenfei, Song Shengli,. Digital watermarking algorithmbased on neural network in multiwavelet domain [J]. Journal of Southeast University (English Edition), 2007, 23 (2): 211-215. [doi:10.3969/j.issn.1003-7985.2007.02.012]
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Digital watermarking algorithmbased on neural network in multiwavelet domain()
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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
23
Issue:
2007 2
Page:
211-215
Research Field:
Computer Science and Engineering
Publishing date:
2007-06-30

Info

Title:
Digital watermarking algorithmbased on neural network in multiwavelet domain
Author(s):
Wang Zhenfei1 2 Song Shengli3
1College of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
2 College of Information Engineering, Zhengzhou University, Zhengzhou 450001, China
3Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Keywords:
digital watermarking neural networks multiwavelet transform
PACS:
TP391
DOI:
10.3969/j.issn.1003-7985.2007.02.012
Abstract:
A novel blind digital watermarking algorithm based on neural networks and multiwavelet transform is presented.The host image is decomposed through multiwavelet transform.There are four subblocks in the LL-level of the multiwavelet domain and these subblocks have many similarities.Watermark bits are added to low-frequency coefficients.Because of the learning and adaptive capabilities of neural networks, the trained neural networks almost exactly recover the watermark from the watermarked image.Experimental results demonstrate that the new algorithm is robust against a variety of attacks, especially, the watermark extraction does not require the original image.

References:

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Memo

Memo:
Biography: Wang Zhenfei(1973—), male, doctor, associate professor, wzfei@zzu.edu.cn.
Last Update: 2007-06-20