Video steganography algorithm based on visual perception characteristics and wet paper codes
结合视觉感知特性和湿纸编码的视频隐写算法

By using the dual-tree complex wavelet transform (DT-CWT), this paper extracted video images'motion feature maps, contrast sensitivity maps, texture maps and scene changing points, and used all above to get the least sensitive points to compose the embedding location maps, and then uses wet paper coding to hide messages. The recipient did not need to know the specific location of the embedded information to achieve secret message extraction, and that avoided a large number of operational costs. More than that, it avoided increasing the redundancy to correct the error when determining the embedding position again. Therefore, the algorithm obtained a high safety and extraction efficiency. Experiments show that the algorithm can meet the requirements of steganography embedding capacity and the invisibility of covert communication.