reversible data hiding in encrypted image by image encryption uml diagrams
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Ieee paper REVERSIBLE data hiding in encrypted image by re image transformation and data flow di
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Reversible data concealment is a technique for embedding additional messages in some unacceptable distortion coverage media, such as military or medical images, in a reversible manner so that the original cover content can be perfectly restored after the hidden message is extracted. A number of reversible data concealment methods have been proposed in recent years. In the difference expansion method, the differences between two adjacent pixels are duplicated to generate a new least significant bit plane (LSB) to accommodate additional data. A data browser can also perform reversal data hiding using a histogram change mechanism, which uses the zero and peak points of an image's histogram and slightly modifies pixel gray values to embed data in the image. Another type of method makes use of redundancy in a shell by performing lossless compression to create a free space for data embedding. In addition, various skills have been introduced in typical reversible data concealment approaches to improve performance.

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With the popularity of data outsourcing in the cloud, it is vital to protect the privacy of the data and allow the cloud server to easily manage the data at the same time. Under such demands, reversible data hiding in encrypted images (RDH-EI) increasingly attracts the attention of researchers. In this paper, we propose a novel framework for RDH-EI based on Reversible Image Transformation (RIT). Unlike all previous encryption-based frameworks in which encrypted text can attract curious cloud notation, the RIT-based framework allows the user to transform the content of the original image into the content of another target image with the same size. The transformed image, which looks like the destination image, is used as the "encrypted image" and is outsourced to the cloud. Therefore, the cloud server can easily embed data in the "encrypted image" by any RDH method for plain text images. In this way, a client-free schema for RDH-EI can be realized, that is, the process of incorporating data executed by the cloud server is irrelevant with the processes of encryption and decryption. Two RDH methods are adopted, including the traditional RDH scheme and the unified inclusion and coding scheme, to embed watermark in the encrypted image, which can satisfy different image quality and high scaling capabilities, respectively.
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