Back to Search
Start Over
Reversible data hiding with prediction error histogram decomposition and hybrid dimensional histogram modification.
- Source :
-
Journal of Electronic Imaging . Jul/Aug2023, Vol. 32 Issue 4, p43010-22. 1p. - Publication Year :
- 2023
-
Abstract
- A reversible data hiding (RDH) method with prediction error histogram (PEH) decomposition and hybrid dimensional histogram modification is proposed. First, a global one-dimensional (1D) PEH is generated by pixel-based pixel value ordering predictor. The proposed method fully utilizes the pixels inside the range of the minimum and maximum of neighbors to decompose 1D-PEH into several sub 1D-PEHs. Then, each sub 1D-PEH is separated into two parts. The part with small-magnitude is used to construct a reduced two-dimensional (2D) PEH, whereas the rest is shifted for reversibility. Finally, data embedding is performed by modifying each reduced 2D-PEH to reduce distortion. Experimental results demonstrates that the proposed method outperforms some high-fidelity RDH methods. [ABSTRACT FROM AUTHOR]
- Subjects :
- *REVERSIBLE data hiding (Computer science)
*FORECASTING
Subjects
Details
- Language :
- English
- ISSN :
- 10179909
- Volume :
- 32
- Issue :
- 4
- Database :
- Academic Search Index
- Journal :
- Journal of Electronic Imaging
- Publication Type :
- Academic Journal
- Accession number :
- 171387515
- Full Text :
- https://doi.org/10.1117/1.JEI.32.4.043010