Lossless information hiding method based on data difference value

Abstract

The invention provides a lossless information hiding method based on a data difference value, which can achieve high-capacity lossless information hiding in various data (such as image data). The lossless information hiding method based on the data difference value is characterized in that secrete information and a difference value are jointly encoded and then are hidden in data to be transmitted, and a receiving end can completely recover the secrete information and original data. According to the lossless information hiding method based on the data difference value, information hiding is performed on only a half of original image data, and information joint hiding is performed on the other half of original image data; after the receiving end corrects the difference value, the original data can be recovered; therefore, the limitation of the traditional least significant bit data compression method is broken through, difference value coding as the cost facilitates the improvement of lossless information hiding capacity, the lossless hiding capacity of the general data is within 1/16 to 7/16, and the certain anti-compression and anti-noise properties are provided.

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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