Multiple Backup Information Hiding And The Hidden Image Restoration Research

With the advent of large data age,data security has become the focus of attention.Information hiding technology as an important research field of information security,is the secret information embedded in the carrier,so that interceptors are not aware of the existence of hidden information,in order to achieve the security of information protection.Information hiding technology can be widely used in data confidentiality,data intellectual property rights,copyright protection,data non-repudiation,data security and data tampering reminders.As an important carrier of information hiding,image is widely used in information hiding.As the digital image has the characteristics of easy to modify,if the encrypted image in the transmission and storage process by cutting,noise and other attacks,the hidden information will be destroyed.Therefore,it is of great significance to study the information hiding algorithm and the recovery algorithm of hidden images such as anti-clipping and noise.In order to improve the security of hidden information,this paper has studied two aspects of multi-backup information hiding and hidden image recovery.The related work is as follows:1.Proposed a multi-backup information hiding algorithm.The hidden information is grouped by the number of backups,and the desired bearer image is selected according to the carrer size and the number of backups of the hidden information required for each group.The corresponding template matrix is calculated as the constraint condition by the number of the same elements on the same line,the number of elements of any element and its 8 neighborhood elements,and the size of the area where a complete hidden information is embedded.According to the template matrix will be multiple backup hidden information embedded in the carrier image,to achieve multi-backup information hidden.This algorithm can better resist large-scale shear attack,and have a eertain anti-noise ability.2.A hidden image restoration algorithm based on high bit fix and statistical interpolation is proposed.By detecting the noise of the compacted image,the damaged bit in the image is marked when the hidden image is extracted.The highest and lower bits of the pixels to be repaired of the hidden image are repaired based on the trusted situation of the pixel bits in the area to be repaired and its neighborhood.Using the interpolation method in statistics,when the number of trusted pixels in the neighborhood of the pixel to be repaired is larger and the difference between these pixels is less than the given threshold,the tool is directly repaired with the knife-cut interpolation method.Other unresolved pixels,the application of multiple interpolation method to repair,to achieve the recovery of hidden images.In this paper,the algorithm has good recovery effect under all kinds of noise attack.