Histogram feature based image encryption domain reversible information hiding method

Abstract

The invention provides a histogram feature based image encryption domain reversible information hiding method, and belongs to the field of digital image encryption and information hiding. The histogram feature based image encryption domain reversible information hiding method comprises the steps that an image owner generates a ciphertext image through carrying out image pixel position scrambling encryption and pixel value encryption, then sends an encryption key and the sub-block size of the ciphertext image to an image receiver, and sends the ciphertext image and the sub-block size thereof to an information hider at the same time; the information hider randomly selects block information embedded information, generates a ciphertext image carrying information, then sends an embedded key, the information containing ciphertext image and the sub-block size to an information receiver, and sends the information containing ciphertext image to the image receiver; the information receiver extracts information according to the embedded key; and the image receiver decrypts and recovers the image according to the encryption key. The method provided by the invention has the beneficial effects that the algorithm is simple and effective, the information can be completely extracted, and the original image can be completely recovered; and the information extracting process, the image decrypting process and the image recovering process are completely independent.

Description

technical field [0001] The invention relates to the field of digital image encryption and information hiding, in particular to a method for reversible information hiding in the image encryption domain based on histogram features. Background technique [0002] Information hiding and data encryption are two commonly used technologies in information security. Information hiding is to use the visual redundancy characteristics of human sensory organs to digital media to embed secret information (such as data, text and image information, etc.) into publicly transmitted digital media (such as images, video and audio, etc.) It is not easy to be detected by the human visual and auditory system, so as to achieve the purpose of using the public secret-carrying media to transmit secret information. The data encryption here is to convert the plaintext of digital media into incomprehensible ciphertext, so as to protect the content of digital media. Due to the embedding of information, t...

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Problems solved by technology

[0003] At present, some scholars have proposed some reversible steganographic schemes in the ciphertext domain, but these schemes have application defects or deficiencies.

In 2011, Zhang[1] proposed a reversible steganographic algorithm in ciphertext domain based on XOR encryption and pixel correlation, which became a representative method in the field of information hiding in ciphertext domain, but the image recovery and information extraction of the algorithm are based on Probabilistic and statistical characteristics (pixel correlation is a statistical characteristic), the degree of image restoration and the correctness of information extraction are related to the block size, and there is always a certain degree of image distortion and error rate of information extraction

In 2012, Zhang[5] proposed a separable ciphertext image steganography scheme. The two operations of information extraction and image restoration can be performed independently without interfering with each other, but its image restoration and information extraction are still completely based on image pixel correlation. On the statistical characteristic of sex, so its reversibility is still not guaranteed like literature [1-4]

However, in the algorithms of literatures [1]-[5], [7]-[10], the image restoration requires information extraction and image decryption operations, and it is easy to obtain image information and secret information from the operation process. The image restorer must be the owner of image information and secret information at the same time, which limits the breadth of application

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