Digital Watermarking Algorithm Based on Wavelet Analysis

Abstract:

With the rapid development of the network and the multimedia technical , how to protect the security of the multimedia informations becomes the popular topic on studies. As a new technique used to protect the copyright of digital productions , the digital watermark technique has drawn extensive attention . A digital watermarking algorithm based on discrete wavelet transform (DWT) was presented according to human visual properties in the paper . Then some attack analyses were given. Experimental results show that the watermarking scheme proposed in this paper is invisible and robust to cropping, and also has good robustness to compression, filtering, and noise adding.

• Periodical: Applied Mechanics and Materials (Volumes 347-350)
• Pages: 2214-2217
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.347-350.2214
• Online since: August 2013
• Authors: Qing Song Xu
• Keywords: Digital Watermark, Discrete Wavelet Transform (DWT), Human Visual System

References

[1] Wang, Zhengyou. Li, Zhengxin. Lin, weixin. Liu, Chengcheng. Wang, Wan. Image quality assessment method combination of HVS and similar features[J]. Chinese Journal of Scientific Instrument. pp.6-15, 2012, 7.

[2] Pan, Lusheng. Grayscale image watermarking technique based on HVS and Wavelet Transform[J]. China packaging industry, pp.20-31, 2012, 09.

[3] Wei, Yi. Based on wavelet transform image watermarking algorithm simulation and study[J]. China Science and Technology Information, pp, 46-65., 2012, 08.

[4] A.S. Lewi G. Kowles : Image Compression Using the 2-D Wavelet Transform[J]. IEEE Transaetions on Image Proeessing, pp.244-250, 1992, l.

[5] Lewis A.S. Knowles.G.: Image compression using the 2-D wavelet transform. IEEE Trans. Image Processing, pp.1244-250, (1992).

DOI: 10.1109/83.136601

[6] Watson. A, Yang.G., Solomon, J Villasenor. J: Visibility of wavelet quantization noise. IEEE Trans. on Image Processing, 6(8) pp.1164-1175, (1997).

DOI: 10.1109/83.605413

[7] Zhang, Chunsen. Fan, Jinjian. Hu, Pingbo. Wavelet transform and Arnold transform digital watermarking technology[J]. Xi'an University of Science and Technology Journal, pp.50-74, 2012, 01(5).

[8] Li, Yunqi. Assessment of image threshold denoising based on wavelet transform and its effects[J]. Northeast demonstration University Journal , pp.18-60, 2012, 01(7).

[9] Mi, xiaozhen, Che, Yu, Dong, Huajun. Digital watermarking algorithm based on discrete wavelet transform and human visual system[J]. Dalian Jiao Tong University Journal, pp.12-40, 2012, 1(2).