Obtuse Angle Prediction and Factor Evaluation for Image Reversible Data Hiding
Joint Authors
Yuan, Jinsha
Xiang, Hongyin
Hou, Sizu
Source
Mathematical Problems in Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-04-11
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
A pixel-based pixel-value-ordering (PPVO) has been used for reversible data hiding to generate large embedding capacity and high-fidelity marked images.
The original PPVO invented an effective prediction strategy in pixel-by-pixel manner.
This paper extends PPVO and proposes an obtuse angle prediction (OAP) scheme, in which each pixel is predicted by context pixels with better distribution.
Moreover, for evaluating prediction power, a mathematical model is constructed and three factors, including the context vector dimension, the maximum prediction angle, and the current pixel location, are analyzed in detail.
Experimental results declare that the proposed OAP approach can achieve higher PSNR values than PPVO and some other state-of-the-art methods, especially in the moderate and large payload sizes.
American Psychological Association (APA)
Xiang, Hongyin& Yuan, Jinsha& Hou, Sizu. 2017. Obtuse Angle Prediction and Factor Evaluation for Image Reversible Data Hiding. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-17.
https://search.emarefa.net/detail/BIM-1192147
Modern Language Association (MLA)
Xiang, Hongyin…[et al.]. Obtuse Angle Prediction and Factor Evaluation for Image Reversible Data Hiding. Mathematical Problems in Engineering No. 2017 (2017), pp.1-17.
https://search.emarefa.net/detail/BIM-1192147
American Medical Association (AMA)
Xiang, Hongyin& Yuan, Jinsha& Hou, Sizu. Obtuse Angle Prediction and Factor Evaluation for Image Reversible Data Hiding. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-17.
https://search.emarefa.net/detail/BIM-1192147
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1192147