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Research On Reversible Information Hiding Algorithm Of Ciphertext Domain Image

Posted on:2020-04-22Degree:MasterType:Thesis
Country:ChinaCandidate:K J ZhangFull Text:PDF
GTID:2428330575994172Subject:Computer technology
Abstract/Summary:PDF Full Text Request
In recent years,along with the rapid rise,development and popularization of big data and cloud computing technologies,the security of digital information in the process of information transmission has become more and more prominent,how to ensure the security of information transmission process and the integrity of information content.And the amount of digital information transmitted has become the main direction for the majority of scholars and researchers.In the process of digital information transmission,digital images are often used as a carrier tool.In the medical,military and other related aspects,in addition to the digital information carrier function,digital images are themselves part of the information source.Digital images are often transmitted in the form of ciphertext images to ensure the security of the data to be transmitted.The ciphertext domain image reversible information hiding is a technique in which a ciphertext image is taken as an object,information hiding is performed thereon,and the original information can be completely extracted.This technology not only guarantees digital image content,but also reduces illegal malicious attacks,tampering and other behaviors.However,at present,the ciphertext domain image reversible information hiding algorithm has problems of small amount of information embedding,complex embedding method,low security and low robustness in the process of design,implementation and performance evaluation.In view of the above problems in the existing ciphertext domain image reversible information hiding algorithm,the gray image is used as the carrier digital image,and the existing gradation domain reversible information hiding algorithm of gray image is analyzed and improved.The main research contents and research results of this paper are as follows:Firstly,for the traditional ciphertext domain image reversible information hiding algorithm,which has weak robustness and less information embedding,a pixel quantization method is proposed.The method combines Hilbert scrambling and DS arithmetic encryption to form a new grayscale image.Reversible information hiding algorithm.The algorithm performs Hilbert curve scanning and image pixel quantization on the carrier image,and accurately marks the threshold region generated by the quantization information,and then performs Hilbert scrambling and DS data encryption processing on the carrier image and the information to be embedded,and finally generates the encryption.The secret information and related auxiliary information are embedded in the ciphertext image.The algorithm can obtain the original information through key decryption,restore the complete carrier image,and improve the embedding rate,and also ensure the security of the information and the integrity of the carrier image.Secondly,in order to improve the scale,embedding quantity,security and robustness of gray image processing,an MSB-based image double encryption reversible information hiding algorithm is proposed.The algorithm first preprocesses the carrier image,determines the difference range and the secret information embedding space,then performs Joseph scrambling encryption and Hilbert scrambling encryption on the carrier image,performs data encryption on the embedded secret information,generates a pseudo-random sequence,and finally encrypts The secret information generated later is embedded in the ciphertext image.The experimental results show that the embedding rate of the algorithm is slightly improved compared with the original algorithm.The receiver can decrypt the complete secret information and restore the original carrier image by key decryption,which has good security and reversibility.
Keywords/Search Tags:ciphertext domain, reversible information hiding, pixel quantization, MSB, double encryption
PDF Full Text Request
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