Improved reversible data hiding for encrypted images using full embedding strategy

2015 ◽  
Vol 51 (9) ◽  
pp. 690-691 ◽  
Author(s):  
Ming Li ◽  
Di Xiao ◽  
Ayesha Kulsoom ◽  
Yushu Zhang
Keyword(s):  
Data Hiding ◽  
Reversible Data Hiding ◽  
Full Embedding ◽  
Embedding Strategy ◽  
Encrypted Images

Separable reversible data hiding in encrypted images via adaptive embedding strategy with block selection

2018 ◽  
Vol 153 ◽  
pp. 109-122 ◽  
Author(s):  
Chuan Qin ◽  
Wei Zhang ◽  
Fang Cao ◽  
Xinpeng Zhang ◽  
Chin-Chen Chang
Keyword(s):  
Data Hiding ◽  
Reversible Data Hiding ◽  
Adaptive Embedding ◽  
Embedding Strategy ◽  
Encrypted Images

scholarly journals Rebuttal: On the Security of Reversible Data Hiding in Encrypted Images by MSB Prediction

2021 ◽  
Vol 16 ◽  
pp. 2445-2446
Author(s):  
Pauline Puteaux ◽  
William Puech
Keyword(s):  
Data Hiding ◽  
Reversible Data Hiding ◽  
Encrypted Images

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

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Xi-Yan Li ◽  
Xia-Bing Zhou ◽  
Qing-Lei Zhou ◽  
Shi-Jing Han ◽  
Zheng Liu
Keyword(s):  
Data Hiding ◽  
Reversible Data Hiding ◽  
High Capacity ◽  
Main Idea ◽  
Original Image ◽  
Chaos Encryption ◽  
Secret Information ◽  
Encrypted Image ◽  
Encrypted Images ◽  
Scanned Documents

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.

An Improved Reversible Data Hiding in Encrypted Images Using Side Match

2012 ◽  
Vol 19 (4) ◽  
pp. 199-202 ◽  
Author(s):  
Wien Hong ◽  
Tung-Shou Chen ◽  
Han-Yan Wu
Keyword(s):  
Data Hiding ◽  
Reversible Data Hiding ◽  
Encrypted Images

scholarly journals Reversible Data Hiding in Encrypted Images Using Median Edge Detector and Two’s Complement

Symmetry ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 921
Author(s):  
Rui Wang ◽  
Guohua Wu ◽  
Qiuhua Wang ◽  
Lifeng Yuan ◽  
Zhen Zhang ◽  
...  
Keyword(s):  
Data Hiding ◽  
Reversible Data Hiding ◽  
Personal Information ◽  
Rapid Development ◽  
Prediction Method ◽  
Prediction Errors ◽  
Edge Detector ◽  
Secret Data ◽  
Encrypted Images ◽  
Cloud Servers

With the rapid development of cloud storage, an increasing number of users store their images in the cloud. These images contain many business secrets or personal information, such as engineering design drawings and commercial contracts. Thus, users encrypt images before they are uploaded. However, cloud servers have to hide secret data in encrypted images to enable the retrieval and verification of massive encrypted images. To ensure that both the secret data and the original images can be extracted and recovered losslessly, researchers have proposed a method that is known as reversible data hiding in encrypted images (RDHEI). In this paper, a new RDHEI method using median edge detector (MED) and two’s complement is proposed. The MED prediction method is used to generate the predicted values of the original pixels and calculate the prediction errors. The adaptive-length two’s complement is used to encode the most prediction errors. To reserve room, the two’s complement is labeled in the pixels. To record the unlabeled pixels, a label map is generated and embedded into the image. After the image has been encrypted, it can be embedded with the data. The experimental results indicate that the proposed method can reach an average embedding rate of 2.58 bpp, 3.04 bpp, and 2.94 bpp on the three datasets, i.e., UCID, BOSSbase, BOWS-2, which outperforms the previous work.

scholarly journals Reversible Data Hiding in Encrypted Images

IARJSET ◽  
2015 ◽  
pp. 35-38 ◽  
Author(s):  
Prajakta Jagtap ◽  
Atharva Joshi ◽  
Shamsundar Vyas
Keyword(s):  
Data Hiding ◽  
Reversible Data Hiding ◽  
Encrypted Images

scholarly journals An Improved Reversible Data Hiding in Encrypted Images Using Parametric Binary Tree Labeling

2020 ◽  
Vol 22 (8) ◽  
pp. 1929-1938 ◽  
Author(s):  
Youqing Wu ◽  
Youzhi Xiang ◽  
Yutang Guo ◽  
Jin Tang ◽  
Zhaoxia Yin
Keyword(s):  
Data Hiding ◽  
Binary Tree ◽  
Reversible Data Hiding ◽  
Encrypted Images
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