Encryption domain image reversible data hiding method based on neighborhood prediction

Abstract

The invention discloses an encrypted domain image reversible data hiding method based on neighborhood prediction. The method comprises three steps including Image Encryption reversible data hiding and; secret information extraction; In the image encryption part, an image is segmented into image blocks; the pixel value of each pixel point in each image block and the value of one element in the random sequence are added for encryption, and modulo operation is performed on 256 to realize encryption ; the linear prediction difference values meeting the specific conditions in the image blocks arekept consistent before and after encryption; data hiding in the encrypted image can be ensured; The method has the advantages that hidden information extraction and image decryption are achieved, complete separation of hidden information extraction and image decryption is guaranteed, hidden information can be effectively extracted in an encryption domain, hidden information can also be effectivelyextracted in a decryption domain, the practicability is higher, and meanwhile it can be guaranteed that an original image can be restored without distortion after the hidden information is extracted.

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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