Research On Coverless Information Hiding Algorithm Based On Image Texture Synthesis

Information hiding is a kind of secret communication technology,which hides secret information into the seemingly ordinary cover information to avoid the suspicion of the eavesdropper.Because the cover itself has some redundancy,the traditional information hiding algorithm embeds the secret information by modifying the cover.Although these methods all realize the hiding of secret information,in the process of modifying the cover,the modified traces will be left on the stego cover,so the hidden algorithm can not completely resist the detection of various steganalysis algorithms.In order to completely resist the detection of various steganalysis techniques,a new concept of "coverless information hiding" is proposed."coverless " does not mean that the secret information can be hidden without the need of a cover,but the secret information is used as the main body to acquire or construct the stego cover.From the proposal of the concept of coverless information hiding to the present,many scholars have made a good improvement on the algorithm of coverless information hiding,in order to further improve the performance of the coverless information hiding algorithm.This paper proposes a texture synthesis steganography scheme based LBP(Local Binary Pattern)and a texture synthesis steganography scheme based on super pixel structuring and SVM to realize information hiding.1.We proposed a texture synthesis coverless information hiding method based on LBP.Firstly,selects the original texture image and divides it into uniform pixel blocks,calculates the LBP value of each pixel in an image block and takes the LBP value with the largest LBP distribution as the information represented for the image block Secondly,the pseudo-random sequence is generated with specified key to determine the position of the texture candidate block placed on the white paper,then select the candidate block based on the value of the secret message and place it on the designated position on the white paper,meanwhile,the remaining blank areas are filled with texture synthesis method.Inversely,during the procedure of extracting the secret message,the position of the steganography image block is obtained according to the pseudo-random sequence generated by the customary key,and then the LBP value of each image block with the largest distribution is calculated to obtain secret information.Experimental results show that the constructed stego-image has good visual effects,more embedded capacities and robustness to some interference.2.We proposed a texture synthesis steganography scheme based on super-pixel structuring and SVM.Firstly,selects a small texture pattern and partition it into overlap block,because the SLIC(Simple Linear Iterative Clustering)super-pixel segmentation algorithm is fast and can generate compact and nearly uniform super-pixels,this paper uses SLIC super-pixel segmentation algorithm to super-pixel segment each block,and the mean value of each super-pixel block is used as the feature value of this block.Then use the trained SVM(Support Vector Machine)classifier to determine the categories to classify into different collections,each collection maps a secret data.Secondly,when hiding the secret information,the pseudo-random sequence is generated with specified key to determine the position of the texture candidate block placed on the white paper,the candidate block is randomly selected from the corresponding set according to the content of the secret information and is placed on the designated position of the white paper,meanwhile,and the remaining blank areas are filled with texture synthesis method.When extracting information,it is no need to restore the original texture patterns,the secret message is picked according to find specified image block and determine which category it is.Experimental results show that the carrier image generated by this method has good invisibility and better effect to anti-compression.