Sudoku-matrix-index-based recoverable information hiding method of image

Abstract

The invention discloses a Sudoku-matrix-index-based recoverable information hiding method of an image. The size of ICP insertion coding space corresponding to an ECover of a Cover is determined undera visual threshold control indicator, segmentation feature statistics is carried out on information M needing to be hidden, a Sudoku sequence and index optimization strategy enabling maximum probability depth continuous indexing to be realized are selected; on the basis of the index optimization strategy and the preferred Sudoku sequence, indexing is carried out, and depth continuous index codingis carried out in a row-column alternating manner in insertion coding space permitted by the ICP group of the ECover; the information hiding bPP index is improved on the condition of ensuring the visual threshold; and according to a reversible rule of an encoding rule, hidden information and recovering Cover are extracted. The method supports the information encryption feature and the hidden information is protected from being decoded.

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. technical background [0002] 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 searched, ...

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

[0004] 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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