基于修改概率转换和非加性嵌入失真的视频隐写方法

近年来，基于运动矢量的视频隐写引起了信息隐藏领域研究者的广泛关注。许多视频隐写方法通过合理地对运动矢量定义加性嵌入失真函数获得了良好的性能，然而这些方法忽略了载体元素之间的相互嵌入影响。该文提出的利用非加性嵌入失真的视频隐写方法为运动矢量设计了可以反映相互嵌入影响的联合嵌入失真，并通过分解联合失真实现修改概率的转换，从而动态、合理地在运动矢量的水平分量和垂直分量分配秘密消息。实验结果表明，与使用加性嵌入失真方法相比，该方法能获得更好的安全性和率失真性能。

Video Steganography Based on Modification Probability Transformation and Non-additive Embedding Distortion

In recent years, research on motion vector-based video steganography has attracted considerable attention from researchers in the field of information hiding. Many video steganographic methods incorporating motion vector-based additive embedding distortion functions have achieved good performance. However, the mutual embedding impact between cover elements in video steganography is neglected in these additive embedding distortion functions. In this paper, joint distortion which reflects the mutual embedding impact for motion vectors is designed. By decomposing joint embedding distortion, modification probability transformation can be achieved and embedding payloads can be dynamically and reasonably allocated in horizontal components and vertical components of motion vectors. Therefore, the video steganography method using non-additive embedding distortion is proposed. Experimental results demonstrate that the proposed method can enhance the security performance significantly compared with the typical methods using additive embedding distortions and obtain the relatively better video coding quality as well.