A Reversible Data Hiding Method for Encrypted Domain Images Based on Neighborhood Prediction

Abstract

The invention discloses a method for reversible data hiding of encrypted domain image based on neighborhood prediction, which includes three parts: image encryption, encrypted domain image reversible data hiding, and secret information extraction. Then, the pixel value of each pixel in each image block is added to the value of an element in the random sequence used for encryption, and then modulo 256 to achieve encryption, so that the linear prediction difference value in the image block that meets certain conditions The consistency before and after encryption not only ensures that data can be hidden in the encrypted image, but also ensures that the extraction of secret information and image decryption are completely separated. The decryption domain can effectively extract the secret information, which is more practical, and can ensure that the original image can be restored without distortion after extracting the secret information.

Description

technical field [0001] The invention relates to a technology for image reversible data hiding, in particular to a method for image reversible data hiding in an encrypted domain based on neighborhood prediction. Background technique [0002] Under the cloud computing platform, the provider of multimedia content does not have to be a storer and a processor at the same time. In this mode of work, user data is largely "out of control". One of the best ways to ensure the security of multimedia data is to encrypt the multimedia data. Users first encrypt sensitive content before uploading. All processing and calculations in the cloud are performed in the ciphertext domain, and the processing results are provided to the user. The user can only obtain the plaintext data after decryption. [0003] In many application scenarios, some cloud service managers without decryption authority need to embed some additional information in the encrypted carrier, such as annotation or authentica...

AI Technical Summary

Problems solved by technology

The existing encryption domain reversible data hiding technology can be divided into three categories: the first category is to encrypt the image and then find the data embedding space, this kind of method generally has a low embedding capacity, and data extraction errors will occur; the second category is the image The data embedding space is reserved before encryption. This type of method has a large embedding capacity and low distortion, but the disadvantage is that a complex protocol is required between the image encryptor and the data embedder; the third type is to use homomorphic encryption to realize reversible image data in the ciphertext domain Hidden, but homomorphic encryption can easily cause ciphertext data expansion

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