Research On High Imperceptibility Audio Information Hiding Algorithm In High SNR Environment

With the rapid development of Internet and multimedia technology,the spread and transaction of digital audio-visual products and other electronic publications become more and more convenient.How to effectively protect the security of data and the copyright of electronic publications while using the convenience of the Internet has become an urgent issue.Traditional information encryption technology uses encryption algorithms to convert plaintext into unreadable ciphertext,but this can easily attract the attention of attackers and is difficultly deal with brute force cracking.The audio information hiding technology hides the ciphertext information in the carrier audio,which not only hides the content of the plaintext,but also hides the existence of the plaintext,providing an extra layer of protection for confidential information.Audio information hiding technology has attracted more and more researchers' attention because of its advantages,and has been widely used in the field of covert communication and copyright protection,and has very important research value and broad application prospects.First,the audio information hiding technology is summarized,introducing the system framework,classic algorithms,human auditory system and psychoacoustic models,and three performance indicators for evaluating audio information hiding algorithms;then,in view of the problems of some classic audio information hiding algorithms,combined with the ideas of non-uniform embedding and spread spectrum technology,an audio information coding algorithm based on MDCT is optimized.Based on this Above,an audio information coding algorithm based on patchwork and non-uniform embedding is proposed;finally,an audio information hiding software is designed and implemented.The main contributions and innovationsof this thesis includes:1.An audio information hidingalgorithm based on MDCT is optimized.In order to make up for some problems of FFT and DCT,this algorithm chooses MDCT as the time-frequency transform method.Use the non-uniform quantizer in MPEG-1 layer III(MP3)when calculating the embedding strength of frequency points,prevent large signals from being distorted due to excessive embedding while improving the quantized signal-to-noise ratio of small signals,and improving the robustness of the algorithm.After obtaining the embedding strength of each frequency point,consider the difference between audio information hiding technology and audio compression technology to solve the problem of negative effects on audio sound quality by signals with small energy.2.An audio information coding algorithm based on patchwork and non-uniform embedding is proposed.Aiming at the defects of the existing patchwork-based audio information hiding algorithm,the algorithm uses the embedding strength calculated by the previously proposed "non-uniform embedding" algorithm to allocate the embedding amplitude of the data blocks that need to be embedded.Improve the concealment without reducing the robustness of the original patchwork-based algorithm.3.An audio information hiding software is designed and implemented.In addition to the common audio file information embedding and audio file information extraction functions,the software also have real-time recording information embedding and real-time recording information extraction functions to meet the real-time requirements.The entire software is implemented by C/C++on the PC,and the audio file information embedding function of the sending end and the entire receiving end are transplanted to the Android.Solve the problem that the robustness of two-channel audio is reduced in real-time recording information extraction.