减小H.264帧间漂移失真的鲁棒性视频隐写算法

针对H.264/AVC （Advanced Video Coding）视频信息隐藏过程中产生的不可感知性、嵌入容量、鲁棒性三方面不平衡的问题，提出一种通过选取不同优先级顺序的DCT （Discrete Cosine Transform）系数集合实现嵌入，进而减少帧间漂移失真的信息隐藏算法.首先对秘密信息M进行卷积编码，得到编码后的信息，以此提高视频的鲁棒性；然后通过分析帧间漂移失真产生的原因，计算出不同DCT系数优先级顺序的分类集合，优先在失真小的系数集合中嵌入数据从而减小帧间漂移失真；最后根据预先定义的嵌入规则，将嵌入在所选择4×4亮度块的DCT系数集合中，提高嵌入容量.最终在解码端能够正确提取秘密信息同时恢复原始信息.实验结果表明，本文提出的算法能在很好的保证视频质量的前提下，增加视频的嵌入容量，提高鲁棒性.

Robust Video Steganography Algorithm for Reducing H.264 Inter-Frame Distortion

In this study, we proposed a method to realize the embedding of DCT coefficients by selecting different priorities in order to solve the problem of non-perceivability, embedding capacity, and robustness in H.264/AVC (Advanced Video Coding) video hiding process, thus reducing the inter-frame drift distortion of information hiding algorithm. First, the secret information M is convolutionally encoded to obtain the encoded information, thereby improving the robustness of the video. Then, by analyzing the cause of the inter-frame drift distortion, the classification set of different Discrete Cosine Transform (DCT) coefficients priority order is calculated, and the data is embedded in the set of coefficients with small distortion to reduce inter-frame drift distortion. Finally, according to the pre-defined embedding rules, the DCT coefficients will be embedded in the set of selected luminance 4×4 blocks to increase the embedding capacity. Eventually, in the decoding side we can correctly extract the secret information while recovering the original information. The experimental results show that the algorithm proposed in this study can increase the video embedding capacity and improve the robustness under the premise of guaranteeing the video quality.