Full separable encryption domain image reversible data hiding method

Abstract

The invention discloses a full separable encryption domain image reversible data hiding method. According to the full separable encryption domain image reversible data hiding method, in an image encryption part, firstly, an image is partitioned into image blocks; and then after a pixel value of each pixel point in each image block is added with one element in a random sequence for encryption, an absolute value of 256 is calculated so as to implement encryption. In the encryption mode, a difference value of a pixel value of each non-center pixel point in each image block and a pixel value of a center pixel point can be kept consistent before and after encryption; not only can data hiding be guaranteed to be carried out in an encrypted image, but also full separation of data extraction and image decryption is ensured; secret data can be effectively extracted in a encryption domain or a decryption domain; meanwhile, an original image can be guaranteed to be recovered in a distortionless manner after secret information is extracted; in the encryption domain image reversible data hiding part, the secret information is embedded in a combining manner, and the combined embedded secret information with a high occurrence frequency has a great bit number, so that data embedding capacity is effectively improved.

Description

technical field [0001] The invention relates to an image reversible data hiding method, in particular to a completely separable encrypted domain image reversible data hiding method. Background technique [0002] In order to meet the data security and privacy protection requirements of cloud computing, sensitive images are stored in the cloud in an encrypted form, so that even if an attacker obtains the image, he cannot obtain its content, thus ensuring the security of the image in the cloud. For example, medical institutions are obliged to protect the privacy of patients, but their data processing capabilities are weak, and they need third parties to implement data processing and analysis to achieve better medical effects or scientific research levels, so they need to entrust stronger data processing capabilities The third party (cloud computing center) realizes data processing, and it is unethical and not allowed by law to directly hand over the data to a third party. For t...

AI Technical Summary

Problems solved by technology

Existing encryption domain reversible data hiding technology can be divided into two categories: one is to encrypt the image and find the data embedding space, this kind of method generally has low embedding capacity, and data extraction errors will occur; the other is image encryption This method has large embedding capacity and low distortion, but the disadvantage is that a complex protocol is required between the image encryptor and the data embedder

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