Singular value modification video steganographic algorithm based on combination with improved matrix coding

Abstract

The invention provides a singular value modification video steganographic algorithm based on combination with improved matrix coding. A maximum singular value of all blocks after block division of each frame is used as a steganographic embedding carrier and modification is carried out by combining matrix coding to achieve an objective of secret information embedding. 8*8 blocking division is carried out on a video frame of a compressed video sequence; singular value decomposition is carried out on each divided block; a maximum singular value after singular value decomposition of all divided blocks is extracted; and information hiding is carried out on the secret information after pretreatment. Lowest three significance bits after singular value binary system processing are used as to-be-modified values; modification operation with no carrying bit is carried out on a carrier bit ay; a code stream is reformed to carry out transmission to a receiving terminal; and the receiving terminal receives secret information again to obtain original secrete information, thereby completing video steganography and extraction. The provided algorithm has the following beneficial effects: the imperceptibility is high and the bit rate increment is low; the algorithm robustness is good; the noise and filter attacks can be resisted; and the carrier modification rate is low on the premise that the embedding capacity is identical.

Description

technical field [0001] The invention belongs to the technical field of information hiding, and in particular relates to a singular value modified video steganographic algorithm combined with improved matrix coding. Background technique [0002] People's lives have become more and more convenient with the continuous development of information technology. The network has become indispensable in the transmission of information in society and has become the main medium for human beings to transmit information. With the rapid development of the network and the rapid increase in the amount of information transmission, information security has gradually become a hot spot of concern. Encryption technology in information security can well guarantee the security of secret information in the transmission process, but since encryption will turn the secret information that should be displayed normally into a bunch of messy garbled codes, it is easy to arouse the suspicion of attackers an...

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Problems solved by technology

[0005] As an important part of image statistics, singular values ​​are widely used in steganography, literature (Li Xudong. Gray-level digital watermarking algorithm based on singular value decomposition [J]. Journal of Wuhan University: Information Science Edition, 2010,35 (11):1305-1308.) Combined with the high robustness of the singular value, a new gray-level digital image information hiding algorithm based on singular value decomposition is proposed. The algorithm embeds the gray-level secret information image into the decomposition After the singular values ​​arranged from large to small, the robustness of the algorithm is improved. The algorithm is very robust to other common image processing attacks (such as noise, filtering, color dithering), but the embedding capacity of the algorithm and the embedding Efficiency needs to be improved

Literature (Yao Chumao, Tang Guangming, Cai Zhen. Robust image information hiding with maximum singular value shift[J]. Computer Applied Research, 2015,36(7):2172-2175.) proposed a maximum singular value based on image block A robust information hiding algorithm for value shifting. The algorithm performs singular value decomposition on the image block, divides the maximum singular value of the image block into an interval, and then realizes the secret by shifting the maximum singular value to the interval corresponding to the secret information bit. The embedding of information, the experimental results show that the algorithm has a large embedding capacity and good robustness, and has better adaptability to the noise environment, but the modification rate of the singular value in the block is relatively large

[0006] In recent years, image-based information hiding technology has made some progress, but due to the limited capacity of digital images, the amount of secret information hidden in them is also limited, and the steganographic algorithm based on images has been unable to adapt The demand for large-capacity covert communication, therefore, the video-based information hiding algorithm came into being

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