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Reversible Data Hiding in Encrypted Color Halftone Images with High Capacity
- Source :
- Applied Sciences, Volume 9, Issue 24
- Publication Year :
- 2019
- Publisher :
- MDPI AG, 2019.
-
Abstract
- In recent years, reversible data hiding (RDH) has become a research hotspot in the field of multimedia security that has aroused more and more researchers&rsquo<br />attention. Most of the existing RDH algorithms are aiming at continuous-tone images. For RDH in encrypted halftone images (RDH-EH), the original cover image cannot be recovered losslessly after the watermark is extracted. For some application scenarios such as medical or military images sharing, reversibility is critical. In this paper, a reversible data hiding scheme in encrypted color halftone images (RDH-ECH) is proposed. In the watermark embedding procedure, the cover image is copied into two identical images to increase redundancy. We use wet paper code to embed the watermark into the image blocks. Thus, the receiver only needs to process the image blocks by the check matrices in order to extract the watermarks. To increase embedding capacity, we embed three layers in the embedding procedure and combine the resulting images into one image for convenience of transmission. From the experimental results, it can be concluded that the original image can be restored entirely after the watermarks are extracted. Besides, for marked color halftone images, our algorithm can implement high embedding capacity and moderate visual quality.
- Subjects :
- reversible data hiding
Cover (telecommunications)
Computer science
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
02 engineering and technology
Encryption
wet paper code
color halftone image
Redundancy (information theory)
0202 electrical engineering, electronic engineering, information engineering
Code (cryptography)
General Materials Science
Computer vision
Instrumentation
Fluid Flow and Transfer Processes
Halftone
business.industry
Process Chemistry and Technology
General Engineering
020206 networking & telecommunications
Watermark
image encryption
Computer Science Applications
Information hiding
Embedding
020201 artificial intelligence & image processing
Artificial intelligence
business
Subjects
Details
- ISSN :
- 20763417
- Volume :
- 9
- Database :
- OpenAIRE
- Journal :
- Applied Sciences
- Accession number :
- edsair.doi.dedup.....518500a3ca268053f35d47813b0b70c4