High-Capacity Reversible Data Hiding in Encrypted Images by Information Preprocessing

Abstract

With the development of cloud computing, high-capacity reversible data hiding in an encrypted image (RDHEI) has attracted increasing attention. The main idea of RDHEI is that an image owner encrypts a cover image, and then a data hider embeds secret information in the encrypted image. With the information hiding key, a receiver can extract the embedded data from the hidden image; with the encryption key, the receiver reconstructs the original image. In this paper, we can embed data in the form of random bits or scanned documents. The proposed method takes full advantage of the spatial correlation in the original images to vacate the room for embedding information before image encryption. By jointly using Sudoku and Arnold chaos encryption, the encrypted images retain the vacated room. Before the data hiding phase, the secret information is preprocessed by a halftone, quadtree, and S-BOX transformation. The experimental results prove that the proposed method not only realizes high-capacity reversible data hiding in encrypted images but also reconstructs the original image completely.

A Novel LSB Matching Algorithm Based on Information Pre-Processing

“…Eight scanned documents of [26,33] were used as secret data. Table 4 lists eight pages of scanned documents.…”

An efficient data masking method for encrypted 3D mesh model

“…The contribution of research work is as shown in:  Presented efficient data masking method that brings good tradeoffs between embedding capacity and reconstruction quality.  EDM method attain higher embedding capacity and higher quality recovery mesh and error-free extraction compared with the existing state-of-the-art data masking method [16].…”