Robust watermark algorithm for adaptive choice of information embedding position
LI Song1,GU Qiaolun1,GAO Tiegang2
1. School of Information Technology Engineering, Tianjin University of Technology and Education, Tianjin 300222, China 2. College of Software, Nankai University, Tianjin 300222, China
Abstract：To improve the quality of watermarked image, an improved robust watermark algorithm based on Support Vector Regression (SVR) and Genetic Algorithm (GA) was proposed. Following Haar wavelet transform, the wavelet coefficients which had strong similarity in image subband were adopted as feature vector, and then the SVR optimized by GA was used to build a wavelet coefficients direction tree model. The values of Mean Square Error (MSE) of the feature vector were compared to adaptively determine the information embedding position. According to the size between the prediction value and real value of the model, the watermark was embedded and extracted. The experimental results show that the proposed algorithm has strong robustness to common image attacks, even the Peak Signal to Noise Ratio (PSNR) can achieve 44.15dB with the embed capacity of 16384 bits. Thus, the proposed algorithm can resist watermarking attacks more effectively and it has high transparency under the situation with big capacity information embedded.
2013, Vol. 33 
