The imperceptible video watermarking based on the model of entropy
Zhi Li, Xiaowei Chen · 2008
A novel adaptive imperceptible video watermarking based on the model of entropy is proposed. By combining the human visual masking system (HVS) with the blocking-matching techniques acquire the motion information in video sequence. The statistics to the motion information in every macro-block could be gotten by using the model of entropy. According to the entropy of motion information of every macro-block and the human visual masking system, a set of non-linear formulas have been proposed. The maximum of the embedding strength of the every block in the video sequence is calculated with the set of non-linear formulas. The results of experiments indicate that the imperceptibility of the video watermarking has been improved by introducing the model of motion entropy and the set of non-linear formula. In the imperceptible experiments the proposed algorithm has the excellent transparency.