Title :
Performance analysis of the embedding factor for the digital image watermarking
Author :
Jin, Cong ; Peng, Jia-xiong
Author_Institution :
Inst. for Pattern Recognition & Artificial Intelligence, Huazhong Univ. of Sci. & Technol., Wuhan, China
Abstract :
In this paper, we discussed an estimation method of the embedding strength for the digital image watermark. Under the assumptions that watermark data are a known, zero-mean, binary valued sequence, and that the original image data are an i.i.d. random sequence from a Weibull distribution, it is shown that this embedding strength should be estimated by observing to the averages of the watermarked image, the averages of the original image, and by calculating briefly between them. The approach is based on moment estimation method of the watermark embedding strength. The experimental results show that this method is effective for De Rosa et.al.´s watermark detector. The conclusions obtained by experiments are useful to research in the future.
Keywords :
Weibull distribution; image coding; random sequences; watermarking; Weibull distribution; binary valued sequence; digital image watermarking; embedding factor; embedding strength estimation method; image data; moment estimation method; random sequence; watermark data; watermark detector; Artificial intelligence; Cryptography; Digital images; Discrete cosine transforms; Image recognition; Performance analysis; Protection; Robustness; Watermarking; Weibull distribution;
Conference_Titel :
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN :
0-7803-8131-9
DOI :
10.1109/ICMLC.2003.1260015