Video steganography method, system and device based on macro block complexity

Abstract

The invention discloses a video steganography method, system and device based on macro block complexity, and the method specifically comprises the steps: carrying out the normal compression of a video, calculating the complexity of a reconstruction block, and determining an embedded threshold of a steganography carrier according to the counted embedded secret information length; carrying out steganography on a motion vector of a macro block according to the embedded threshold, then embedding secret information, reconstructing the macro block according to the steganography motion vector, and obtaining a steganography frame; circularly traversing the reconstructed block of a steganography frame, calculating the complexity of the reconstructed block of the steganography frame, comparing the complexity with an embedded threshold, and if the complexity is smaller than the embedded threshold, extracting the secret information from the least significant bits of a horizontal component and a vertical component of the steganography macro block motion vector; a sender carrying out steganography repeatedly to obtain a steganography video; a receiving end repeatedly extracting the received steganography video to extract the secret information. According to the method, the local optimality of the motion vector can be obviously maintained, and it is indicated through analysis that the local optimality of the motion vector is easier to maintain when the smooth macro block is subjected to motion vector modification.

Description

technical field [0001] The invention belongs to the technical field of image information hiding, and in particular relates to a video steganography method, system and device based on macroblock complexity. Background technique [0002] The video steganography algorithm based on the motion vector has been extensively studied. The idea of ​​using the motion vector as the steganographic carrier was proposed by Kutter et al. A video watermarking method was implemented by directly modifying the motion vector. In 2006, Xu et al. embed information by embedding information in the least significant bits of motion vector components with larger magnitudes. Aly found through research that the selection strategy based on the magnitude of the motion vector cannot guarantee smaller distortion, so a selection strategy directly related to the macroblock prediction error is designed, and the motion vector of the macroblock with a higher prediction error is selected and Information embedding ...

AI Technical Summary

Problems solved by technology

In order to ensure the local optimality of motion vectors, Zhang et al. proposed a local optimality preservation algorithm in 2015, which uses candidate motion vectors that simultaneously satisfy local optimality and are opposite to the parity of the optimal motion vector as the post-steganographic motion vector, since the replaced motion vector may not satisfy the global optimum within the search range, the increase in the residual error will lead to a significant increase in bit

[0003] Chinese patent CN 105704489 A measures the complexity of macroblocks, but it cannot completely describe the difference between adjacent pixels of the reconstruction block. In addition, there are certain defects in the selection method of the threshold, which may lead to incomplete embedding of secret information

[0004] In the existing steganographic algorithm based on motion vector, modifying the motion vector may cause the reconstructed block to not satisfy the local optimality at the decoding end, thus being detected by the steganalysis method based on local optimality hiding, thus exposing the concealed communication fact The security of the algorithm will be greatly reduced, so how to select the appropriate motion vector for information embedding and ensure that the reconstruction block can still maintain the local optimality of the motion vector at the decoding end has a great impact on the security of the steganography algorithm. plays a vital role

Images