A Recoverable Information Hiding Method of Image Based on Sudoku Matrix Index

Abstract

The invention discloses an image recoverable information hiding method based on Sudoku matrix index. First, under the visual threshold control index, determine the size of the ICP insertion coding space corresponding to ECover for Cover, conduct statistics on the segmentation features of the information M to be hidden, and select the Sudoku sequence and index optimization strategy that can continuously index with the maximum probability depth. Then index based on the index optimization strategy and the optimal Sudoku sequence, in the allowed insertion coding space of the ICP group of ECover, the depth continuous index coding is performed alternately by row and column. Finally, under the condition of ensuring the visual threshold, the bPP index of information hiding is improved. Finally, according to the reversible rules of the encoding rules, the hidden information is extracted and the Cover is recovered. The method supports the feature of information encryption and can protect hidden information from being deciphered.

Description

technical field [0001] The invention belongs to the technical field of information hiding (Information Hiding), and relates to a method for hiding image recoverable information, in particular to a method for hiding image recoverable information based on Sudoku matrix index. [0002] technical background [0003] Information hiding is a kind of information security technology. Information hiding technology hides information in the media code, uses the characteristics of the media itself, conceals and hides information, and makes it difficult for the hidden information to be intercepted and analyzed in a targeted manner. Because of these characteristics, information hiding technology has attracted much attention. Because, with the deepening of Internet applications, users have to rely on third-party storage, transmission, computing and other operations of data, and more and more, such as cloud storage, mail sending and receiving, cloud computing, etc. These data are easily se...

AI Technical Summary

Problems solved by technology

It needs to be added that the coding space that ICP can be used for information insertion in the current research ECover has not been fully applied: either the original information is directly inserted according to the designed visual threshold, although the PSNR (Peak Signal to Noise Ratio) index is maximized, but the bPP ( bit Per pixel) index is not optimal; or insert an absolute address code based on Sudoku index in each ICP in a fixed way to achieve a relatively high bPP index, but the licensed PSNR index cannot be fully utilized because the absolute index code , can only be used once in an ICP

[0005] Therefore, the current image-based recoverable concealment technology does not make full use of the insertion coding space of each ICP in ECover to achieve bPP optimization under the condition of a certain visual threshold index.

In other words, when a large amount of high-efficiency information insertion is required, and the visual threshold control index is not strict, there is a lack of a technology that can effectively improve the coding efficiency.

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