Reversible Steganography Algorithm for High Capacity Video Based on Motion Vector Multi Histogram Correction

Abstract:
This paper proposed a high-capacity reversible steganography algorithm for H.264 video based on motion vector multi histogram correction. The algorithm uses the correlation of motion vectors in the video sequence, calculates the aggregation coefficient in the set statistical frame, selects the histogram center point adaptively, and establishes multiple histograms according to the selected histogram center point. Finally, the secret information is embedded in the ordinary frame through the two-dimensional histogram correction algorithm. The experimental results show that compared with the same type of video steganography algorithm, the embedding capacity is increased by 23.4% on average. When fully embedded, the changes of PSNR and SSIM of the algorithm are reduced by 16.9% and 34.1% respectively. The algorithm has better video quality and larger embedding capacity.