An Information Hiding Method for Adaptive Multi-base Representation of Secret Information

Abstract

An information hiding method adaptive to multi-base representation of secret information comprises the following steps of: (1) dividing a carrier image into blocks, calculating a standard deviation ofthe each block, wherein Mu is an image block mean value; keeping one significant digit of Sigma after the decimal point to obtain a standard deviation set of the image; (2) performing statistics to obtain the proportion of the each standard deviation, and determining two threshold values for complexity classification of the image blocks according to statistical distribution of the standard deviations; (3) utilizing the complexity of the image block to perform base selection of secret information, and performing multi-base processing on the secret information to obtain a secret information sequence of the image block needing to be hidden; (4) pairing adjacent pixels in the image block, performing information hiding by utilizing a diamond encoding algorithm, so as to obtain stego carrier pixel pairs; (5) processing the image block which has different complexities before and after the hiding, so as to ensure unchangeable complexity; and (6) repetitively executing the step (3) to the step(5) until the secret information is fully hidden.

Description

technical field [0001] The invention relates to a data communication method, in particular to an information hiding method for self-adaptive secret information multi-base representation, which belongs to the field of communication (such as data communication technology, etc.). Background technique [0002] Information hiding, also known as data hiding, is to use the visual redundancy of human eyes to embed secret information to be transmitted into digital multimedia carriers (such as text, fingerprints, images, videos, etc.) The identified code stream is used to achieve the purpose of safe storage and secret transmission of information. [0003] Spatial hiding methods hide secret information by modifying the carrier pixel values. Most current concealment methods, such as LSBMR, EMD, FEMD, DE, etc., embed an equal amount of secret information in each carrier pixel, regardless of the local complexity of the carrier image. However, the human visual system (HVS) perceives the ...

AI Technical Summary

Problems solved by technology

However, this type of method only considers the difference between two pixels, and ignores the local complexity of the image block, resulting in the inability to accurately predict the complexity of the location of the pixel pair.

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