A Lossless Information Hiding Method Based on Data Difference

Abstract

The invention proposes a lossless information hiding method based on data difference, which can realize high-capacity lossless information hiding in various types of data (such as image data). Its characteristic lies in that the method hides the secret information and the difference value in the data for transmission by joint encoding, and the receiving end can completely restore the secret information and the original data. This method only performs information hiding in half of the original image data, and jointly hides information in the other half of the data. The receiving end corrects the difference to restore the original data, breaking through the limitations of the traditional least significant bit data compression method. , at the cost of difference encoding, the lossless information hiding capacity is increased. For general data, the lossless hiding capacity is between 1 / 16 and 7 / 16, and it has a certain anti-compression and anti-noise ability.

Description

technical field [0001] The invention relates to a data communication method, in particular to a data difference-based lossless information hiding method, and 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] Through the information hiding technology, the secret information can be embedded in the image for transmission without changing the size of the image, so as to realize the hidden transmission of the secret information in the image. On the other hand, for some applications, it is required that remote sensing images, medical images, and legal images can also be restored without loss after extracting secret information from remote sensing images, medical im...

AI Technical Summary

Problems solved by technology

[0004] At present, the typical lossless information hiding algorithm is mainly based on the histogram shift method and the difference expansion method. A large amount of additional information is required in the extraction and the hiding capacity is not high without calculating the additional information. Some lossless hiding methods are in order to achieve High capacity requires multiple layers of hiding, the hardware implementation is relatively complex, and a large amount of additional information is generated during hiding. In actual situations, the hiding capacity and implementation complexity are mostly unable to meet user needs

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