Abstract
A pixel-value-ordering (PVO) predictor has been used in reversible data hiding methods to produce high-fidelity marked images when the payload size is moderate. The original PVO generates predictions in a block-by-block manner where only two pixels can be predicted in each block. In this paper, a novel pixel-based PVO (PPVO) is proposed with which each pixel is predicted using its sorted context pixels. The benefit of the PPVO is that the pixels in smooth image regions can be better used to embed data, while most of those pixels are neglected in PVO due to the block constraint. Experimental results demonstrate that the embedding capacity of PPVO is larger than that of PVO, especially for relatively smooth images. The obtained marked image quality of PPVO is also better than that of PVO and other state-of-the-art reversible data hiding methods.
| Original language | English |
|---|---|
| Pages (from-to) | 249-260 |
| Number of pages | 12 |
| Journal | Signal Processing |
| Volume | 111 |
| DOIs | |
| Publication status | Published - 2015 Jan 1 |
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Keywords
- Pixel selection
- Pixel value ordering
- Pixel-based pixel value ordering
- Reversible data hiding
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Control and Systems Engineering
- Software
- Signal Processing
- Computer Vision and Pattern Recognition
Cite this
Pixel-based pixel value ordering predictor for high-fidelity reversible data hiding. / Qu, Xiaochao; Kim, Hyong Joong.
In: Signal Processing, Vol. 111, 01.01.2015, p. 249-260.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Pixel-based pixel value ordering predictor for high-fidelity reversible data hiding
AU - Qu, Xiaochao
AU - Kim, Hyong Joong
PY - 2015/1/1
Y1 - 2015/1/1
N2 - A pixel-value-ordering (PVO) predictor has been used in reversible data hiding methods to produce high-fidelity marked images when the payload size is moderate. The original PVO generates predictions in a block-by-block manner where only two pixels can be predicted in each block. In this paper, a novel pixel-based PVO (PPVO) is proposed with which each pixel is predicted using its sorted context pixels. The benefit of the PPVO is that the pixels in smooth image regions can be better used to embed data, while most of those pixels are neglected in PVO due to the block constraint. Experimental results demonstrate that the embedding capacity of PPVO is larger than that of PVO, especially for relatively smooth images. The obtained marked image quality of PPVO is also better than that of PVO and other state-of-the-art reversible data hiding methods.
AB - A pixel-value-ordering (PVO) predictor has been used in reversible data hiding methods to produce high-fidelity marked images when the payload size is moderate. The original PVO generates predictions in a block-by-block manner where only two pixels can be predicted in each block. In this paper, a novel pixel-based PVO (PPVO) is proposed with which each pixel is predicted using its sorted context pixels. The benefit of the PPVO is that the pixels in smooth image regions can be better used to embed data, while most of those pixels are neglected in PVO due to the block constraint. Experimental results demonstrate that the embedding capacity of PPVO is larger than that of PVO, especially for relatively smooth images. The obtained marked image quality of PPVO is also better than that of PVO and other state-of-the-art reversible data hiding methods.
KW - Pixel selection
KW - Pixel value ordering
KW - Pixel-based pixel value ordering
KW - Reversible data hiding
UR - http://www.scopus.com/inward/record.url?scp=84921749935&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84921749935&partnerID=8YFLogxK
U2 - 10.1016/j.sigpro.2015.01.002
DO - 10.1016/j.sigpro.2015.01.002
M3 - Article
AN - SCOPUS:84921749935
VL - 111
SP - 249
EP - 260
JO - Signal Processing
JF - Signal Processing
SN - 0165-1684
ER -