A HEVC Video Steganography Algorithm Based on DCT/DST Coefficients with Improved VRCNN

Aijun Zhou, Xinghao Jiang, Zhaohong Li, Zhenzhen Zhang

Abstract: Nowadays, the steganography of HEVC(High Efficiency Video Coding) videos has been widely researched. The existing steganography algorithms mainly focused on eliminating inter-block distortion and only embedded data in small-sized blocks, which did not take intra-block distortion into consideration and wasted large embedding capacity. In this paper, a HEVC steganography algorithm based on DCT/DST coefficients is proposed. It uses the intra-frame error propagation-free method to embed data in all blocks for eliminating inter-block distortion and especially, introduces CNN(Convolutional Neural Network) to reduce intra-block distortion. Experimental results show that the proposed algorithm improves the embedding capacity greatly and performs well on visual quality, bitrate increasing and anti-steganalysis.