Abstract
In order to effectively increase embedding capacity and completely extract the watermarking information in information hiding of encrypted images, a new reversible watermarking embedding algorithm based on rhombus prediction model and difference histogram shifting ideas is proposed. Firstly, the images are pretreated according to rhombus prediction model. Then, the watermarking information is embedded in encrypted images by effective combination of homomorphism encryption scheme and reversible watermarking techniques. Finally, the watermarking information is completely extracted and the images are recovered based on computed difference histogram from left to right and from top to bottom. So, the efficiency and reversibility are ensured when watermarking information is embedded in encrypted image. Experiment results show that the proposed algorithm is simple and easy to realize, the embedding capacity is effectively increased, watermarking information is completely reversible, and the image can be recovered with no distortion.
Highlights
With the advent of the digital age, media content gradually changes from analog to digital
Reference [19] has proposed hiding algorithm based on cipher image lossless compression, but the watermarking extraction is still using the relationship of the nature image pixels characteristics, so it dose not guarantee the ability to completely extract the watermarking information
In order to achieve this innovation, we first pretreat the images according to rhombus prediction model, and we embed the watermarking information in encrypted images by effective combination of homomorphism encryption scheme and reversible watermarking techniques; the watermarking information can be completely extracted and the images are recovered based on computed difference histogram from left to right and from top to bottom
Summary
With the advent of the digital age, media content gradually changes from analog to digital. Reference [19] has proposed hiding algorithm based on cipher image lossless compression, but the watermarking extraction is still using the relationship of the nature image pixels characteristics, so it dose not guarantee the ability to completely extract the watermarking information. Our reversible watermarking embedding algorithm is based on rhombus prediction model and difference histogram shifting ideas; it can effectively increase embedding capacity and completely extract the watermarking information in information hiding of encrypted images while the efficiency and reversibility can be ensured. In order to achieve this innovation, we first pretreat the images according to rhombus prediction model, and we embed the watermarking information in encrypted images by effective combination of homomorphism encryption scheme and reversible watermarking techniques; the watermarking information can be completely extracted and the images are recovered based on computed difference histogram from left to right and from top to bottom.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
