Dual Wavelet Watermarking Using Principal Component Analysis
In this article, a new scheme of dual wavelet watermarking by applying principal component analysis is presented. First, we identify the two best sub bands of wavelet transform by considering the intensity variance of each sub band. These two sub bands are further transformed by 1-level wavelet transform. The embedding locations are obtained by experiment in a way that they would be compatible with the human visual system. Both watermarks are embedded within the selected sub bands with respect to their principal components. We take advantage of interleaving technique to improve imperceptibility of the algorithm. Experimental results show good robustness and security of the proposed method against various attacks such as JPEG compression, cropping, gamma correction and Gaussian filtering.
Discrete Wavelet Transform Principal Component Analysis Dual Watermarking
Hamidreza Sadreazami Marzieh Amini
Department of Electrical and Computer Engineering Shahid Beheshti University Tehran, Iran Department of Electrical and Computer Engineering Semnan University Semnan, Iran
国际会议
2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)
北京
英文
1821-1824
2010-08-24（万方平台首次上网日期，不代表论文的发表时间）