Font Size: a A A

Study Of Large Capacity And Strong Robustness Reversible Data Hiding Algorithm For Audio Files

Posted on:2022-03-23Degree:MasterType:Thesis
Country:ChinaCandidate:J C HouFull Text:PDF
GTID:2518306323960389Subject:Software engineering
Abstract/Summary:PDF Full Text Request
In recent years,the rapid development of information processing and transmission technology has made the transmission of multimedia files easier and more convenient.In particular,the illegal collection and modification of images and audio has gradually become a problem of concern.With the advancement of the digital society,massive amounts of audio data are disseminated on the Internet,and audio files have advantages such as large reversible redundant space and strong ability to carry secret message.The development of information hiding technology based on audio as the carrier is becoming more and more mature.Initially,the secret message is usually embedded in the LSB(Least Significant Bit)of the carrier file in the form of a bit stream.The distortion of the carrier audio is almost negligible in perception,and the zero distortion of the carrier audio data can be achieved through reversible data hiding.Reversible data hiding is a special scheme that can embed secret message into multimedia carriers such as audio,and can reconstruct the carrier audio after the embedded payload is completely extracted,ensuring that the extracted audio file is exactly the same as the original carrier audio file.At present,the traditional multimedia watermarking protection scheme is especially for the reversible information hiding method of audio files.It faces many challenges.For example,the reversible information hiding error prediction and data embedding algorithm are becoming more and more complex,and the computational cost is getting higher and higher;at the same time,as the payload increases,the audio quality drops rapidly.Since the audio signal is a typical one-dimensional non-stationary signal,its autocorrelation function and mean value function will change with time,and the signal has the characteristic of gradual change.In the actual processing process,the audio signal is generally segmented segment by segment,and then the samples are processed segmentally to achieve better protection results.The main contents of this paper are as follows: in the first part,a reversible audio file data hiding scheme based on one-dimensional histogram is proposed.Most reversible data hiding algorithms only focus on mono audio files,but seldom on stereo audio files with two channels.Considering the characteristics of the correlation between the left and right channel waveforms of audio,the algorithm uses the similar characteristics of the left and right channel waveforms and the gradient transform to embed the data in a single channel,and refers to the prediction error of another channel to reduce the prediction error.In the second part,an audio file reversible data hiding algorithm based on two-dimensional histogram distribution is proposed.Based on the temporal correlation between mono audio points and the spatial phase between two audio channels,a two-dimensional prediction error histogram with steep distribution is constructed.According to the distribution characteristics of two-dimensional histogram of prediction error,the sensitive data is embedded adaptively to improve the embedding capacity and reduce the distortion of carrier audio file.In the third part,a reversible data hiding method based on code division multiple access(CDMA)is proposed.In order to solve the problem of low capacity and low security of RDH algorithm based on audio file,the reversible information hiding technology is combined with code division multiple access technology,and the extended sequence is used to carry the secret message embedded in the carrier audio,which can not only guarantee the lossless extraction of the embedded data,but also can completely recover the original audio signal;at the same time,the positive detection based on the embedded vector is used Most of the elements in different embedding vectors cancel each other,which makes the algorithm achieve higher audio fidelity in the case of large capacity data embedding...
Keywords/Search Tags:Audio, Reversible data hiding, Rrediction error, Code division multiple access, Two-dimensional histogram
PDF Full Text Request
Related items