![](/images/graphics-bg.png)
General Framework of Reversible Watermarking Based on Asymmetric Histogram Shifting of Prediction Error
Joint Authors
Chen, Sheng
Chen, Xianyi
Fu, Huijuan
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-11-23
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Abstract EN
This paper presents a general framework for the reversible watermarking based on asymmetric histogram shifting of prediction error, which is inspired by reversible watermarking of prediction error.
Different from the conventional algorithms using single-prediction scheme to create symmetric histogram, the proposed method employs a multi-prediction scheme, which calculates multiple prediction values for the pixels.
Then, the suitable value would be selected by two dual asymmetric selection functions to construct two asymmetric error histograms.
Finally, the watermark is embedded in the two error histograms separately utilizing a complementary embedding strategy.
The proposed framework provides a new perspective for the research of reversible watermarking, which brings about many benefits for the information security.
American Psychological Association (APA)
Chen, Sheng& Chen, Xianyi& Fu, Huijuan. 2017. General Framework of Reversible Watermarking Based on Asymmetric Histogram Shifting of Prediction Error. Advances in Multimedia،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1122360
Modern Language Association (MLA)
Chen, Sheng…[et al.]. General Framework of Reversible Watermarking Based on Asymmetric Histogram Shifting of Prediction Error. Advances in Multimedia No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1122360
American Medical Association (AMA)
Chen, Sheng& Chen, Xianyi& Fu, Huijuan. General Framework of Reversible Watermarking Based on Asymmetric Histogram Shifting of Prediction Error. Advances in Multimedia. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1122360
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1122360