Title
Reversible Data Hiding In Encrypted Image Based On Block Classification Scrambling
Abstract
To improve the security and the quality of decrypted image, this work proposes a reversible data hiding in encrypted image based on block classification scrambling. In image encryption phase, all 8 x 8 blocks are firstly classified into the smooth blocks and texture ones and the corresponding block-type matrix is generated according to their most significant bits (MSB). And then the XOR-encrypted smooth and texture blocks are scrambled by the encryption key, respectively. At last, the encrypted image is generated by scanning the scrambled smooth and texture blocks in order. The risk of content disclosure of encrypted image obtained by the proposed method is reduced since the value and location of each pixel are both protected. Experimental results demonstrate that the probability for lossless recovery of proposed method is 100% even if for texture image Baboon at a high embedding rate of 0.15 bpp.
Year
DOI
Venue
2017
10.1007/978-3-319-68542-7_14
CLOUD COMPUTING AND SECURITY, PT II
Keywords
Field
DocType
Reversible data hiding, Block classification, Scrambling encryption
Pattern recognition,Scrambling,Computer science,Matrix (mathematics),Information hiding,Image based,Encryption,Real-time computing,Pixel,Artificial intelligence,Key (cryptography),Lossless compression
Conference
Volume
ISSN
Citations 
10603
0302-9743
2
PageRank 
References 
Authors
0.38
18
4
Name
Order
Citations
PageRank
Fan Chen130.73
Hongjie He223820.34
Tinghuai Ma310711.50
Shu Yan430.73