Anti-compression high-capacity information hiding and extracting method

Abstract

The invention provides an anti-compression high-capacity information hiding and extracting method, which can achieve high-capacity information hiding in data such as image data, and meanwhile has the anti-compression performance. The method is characterized in that secret information is hidden into the data for transmission by pre-treating carrier data and performing carrier coding on the secret information, without changing the high-order information bits of the carrier, even through certain lossy compression, the receiving end also can recover the secret information and carrier data with high quality. The method is provided for meeting the requirement that the user information hiding is high in capacity, robust and low in hardware implementation complexity and covers both image and non-image data, thus the hiding method has the hiding capacity of 1 / 8 or 1bpp, and has the anti-compression performance; the limitation that the traditional high-capacity hiding method is not robust is overcome, and the limitation that the traditional domain transformation method is high in implementation complexity is also overcome.

Description

technical field [0001] The invention relates to a data communication method, in particular to a compression-resistant large-capacity information hiding and extraction method, which belongs to the field of communication (such as data communication technology, etc.). Background technique [0002] Information hiding, also known as data hiding, is an important branch of information security. It uses human visual redundancy to embed secret information into the carrier, so as to achieve the purpose of secure transmission of secret information. [0003] Information hiding is divided into lossless information hiding or lossy information hiding. Lossy information hiding such as LSB and DCT information hiding methods, after information hiding, the carrier data has a certain loss, and the information has no loss or a certain loss. Lossless information hiding methods, such as the histogram-based information hiding method, the difference expansion information hiding method, etc., have no...

AI Technical Summary

Problems solved by technology

The lossy information hiding method, such as the LSB information hiding method, has a capacity of 1 / 8, but it cannot resist compression, that is to say, the bit error rate of the encrypted data is too high after lossy compression, and there is no robustness.

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