Design And Research Of Multi-carrier Information Hiding Algorithm Based On Digital Image And 3D Model

In the era of big data,multimedia data is growing explosively,and problems related to digital media appear frequently.As an important branch of information security,information hiding technology provides an effective technical way to solve the difficult problem of digital multimedia security.Most of the information hiding algorithms are based on a single carrier,and there are some limitations in the improvement of information hiding capacity and security performance.In the mass available digital multimedia environment,a multi-carrier information hiding algorithm can effectively break the limitations of low embedding capacity and low security of single carrier information,and further improve the performance of the algorithm.This thesis mainly focuses on the design of multi-carrier information hiding algorithm.Based on the multi-carrier classification processing,the effective carrier labeling,the selection of information hiding area,the secret information pre-processing design rules,the rules of information hiding,and the embedding and extraction of secret information,two multi-carrier information hiding algorithms are proposed:(1)A multi-carrier information hiding algorithm of digital image based on GHM and SVD.Firstly,the digital image is classified based on the color histogram and LDP feature vectors.Secondly,the GHM multiwavelet transform is applied to select the information hiding region according to the energy characteristics.Finally,the carrier image is slightly modified to embed the secret information while ensuring the correlation between the images.(2)A multi-carrier information hiding algorithm of 3D models based on normal angle.Firstly,the 3D models are classified based on the normal angle histogram.Secondly,combined with the multi-feature parameter information of the surface vertices of the 3D model,iteratively optimizes the marking feature points under the limit of a certain threshold range,and gets the secret information embedded in the modified area.Finally,modify the type of the triangular mesh of the 3D model to complete the optimization matching modification of the hidden information and the carrier information.Compared with the comparison algorithm,the advantage of the first proposed algorithm is that the invisibility PSNR value is increased by 27.05% and 9.46% on average.In the face of simultaneous high-intensity composite attacks of 30% cutting,JPEG2000 compression,and counterclockwise 33° rotation,the PSNR value can reach 39.3274 d B.The simulation comparison experiment of the second proposed algorithm shows that the SNR value is increased by 17.14% and 10.86% on average compared with the comparison algorithm.The BCR value increased by 16.97%,9.94%,24.71%,16.79%,15.09%,3.60%,12.46%,8.61%,when facing random noise-adding attack,mesh simplification attack,non-uniform compression attack,and cutting attack.In summary,the invisibility and robustness of the two algorithms proposed in this thesis are significantly improved,which are suitable for the high-capacity secret information transmission with high-security requirements,and have positive significance for national security.