Back to Search
Start Over
An Improved Reversible Data Hiding in Encrypted Image Method Based on Block Selection
- Source :
- IEEE Access, Vol 8, Pp 227036-227047 (2020)
- Publication Year :
- 2020
- Publisher :
- IEEE, 2020.
-
Abstract
- For reversible data hiding in encrypted image (RDHEI), the most important problem is the conflict between reversibility and embedding capacity. Reversibility has been realized by existing methods, however, the embedding capacity is still too low for practical RDHEI applications. To settle this problem, an improved RDHEI method is proposed in this article by presenting a block selection mechanism. Since extraction error occurs on blocks from which the fluctuation function fails to identifies the flipped part, we propose to distinguish these exceptional blocks from extraction-correct-block (ECB) (i.e., pixel block from which the hidden data can be exactly extracted) and embed additional data into only ECBs. In this way the minimum block size can be adopted to pursue high capacity. To guarantee reversibility, a new self-embedding method is proposed to embed the auxiliary information into the cover image. Finally, a new fluctuation function is also proposed to provide more ECBs and thus further improve the embedding capacity. Experimental results show that the proposed method not only achieves significant improvement in capacity but also guarantees lossless data extraction and perfect image recovery.
- Subjects :
- General Computer Science
reversible data hiding
Computer science
Feature extraction
Cryptography
02 engineering and technology
Encryption
Image encryption
Image (mathematics)
multimedia security
0202 electrical engineering, electronic engineering, information engineering
General Materials Science
Electrical and Electronic Engineering
Block (data storage)
Lossless compression
business.industry
General Engineering
020206 networking & telecommunications
real reversibility
Information hiding
Embedding
020201 artificial intelligence & image processing
lcsh:Electrical engineering. Electronics. Nuclear engineering
business
Block size
Algorithm
lcsh:TK1-9971
Subjects
Details
- Language :
- English
- ISSN :
- 21693536
- Volume :
- 8
- Database :
- OpenAIRE
- Journal :
- IEEE Access
- Accession number :
- edsair.doi.dedup.....4e9aa85b3508df21bca98ce6e383a805