Title :
A Novel Watermarking Algorithm Based on ICA
Author :
Gui, Feng ; Qiwei, Lin ; Jianxiong, Zheng
Author_Institution :
Dept. of Electron. & Commun., HuaQiao Univ., Quanzhou
Abstract :
Through calculating the high-order statistic information of data, independent component analysis (ICA) algorithm can separate the observation signals mixed by some mutually independent source signals blindly and effectively. So it has been used to extract the image features and separate the mixed signals blindly. Making use of the merit of ICA, we propose a watermarking scheme based on ICA in this paper. We first introduce ICA to obtain a set of statistically independent sources; then we use ICA for watermark blind extraction. The experimental results show that the proposed scheme has better invisibility and good robustness to different kinds attacks.
Keywords :
feature extraction; image coding; independent component analysis; watermarking; high-order statistic information; image feature extraction; independent component analysis; watermarking algorithm; Data mining; Feature extraction; Frequency; Gaussian noise; Independent component analysis; Protection; Robustness; Signal processing algorithms; Statistical analysis; Watermarking; ICA; blind extraction; copyright protection; digital watermarking;
Conference_Titel :
Anti-counterfeiting, Security, Identification, 2007 IEEE International Workshop on
Conference_Location :
Xiamen, Fujian
Print_ISBN :
1-4244-1035-5
Electronic_ISBN :
1-4244-1035-5
DOI :
10.1109/IWASID.2007.373727