Abstract
In this paper, the authors propose an accurate prediction scheme to improve the histogram modification based reversible information hiding (HMRIH) algorithm. The prediction is based on both local gradients and context pixels. The proposed scheme detects not only the existence of an edge (vertical or horizontal), but also its strength (sharp, normal, or weak). Since such an approach can generate more accurate prediction values, the prediction errors tend to form a much sharper histogram distribution. The experimental results reveal that, without degrading the image quality, the proposed scheme can improve the embedding capacity by 7.9% in average.
| Original language | English |
|---|---|
| Pages (from-to) | 643-650 |
| Number of pages | 8 |
| Journal | IETE Journal of Research |
| Volume | 63 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 2017 Sep 3 |
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All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Computer Science Applications
- Electrical and Electronic Engineering
Cite this
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An Improved Histogram Modification Based Reversible Information Hiding Scheme. / Hsiao, Ju Yuan; Hsieh, Meng Hsing; Chen, Po Yueh.
In: IETE Journal of Research, Vol. 63, No. 5, 03.09.2017, p. 643-650.Research output: Contribution to journal › Article
TY - JOUR
T1 - An Improved Histogram Modification Based Reversible Information Hiding Scheme
AU - Hsiao, Ju Yuan
AU - Hsieh, Meng Hsing
AU - Chen, Po Yueh
PY - 2017/9/3
Y1 - 2017/9/3
N2 - In this paper, the authors propose an accurate prediction scheme to improve the histogram modification based reversible information hiding (HMRIH) algorithm. The prediction is based on both local gradients and context pixels. The proposed scheme detects not only the existence of an edge (vertical or horizontal), but also its strength (sharp, normal, or weak). Since such an approach can generate more accurate prediction values, the prediction errors tend to form a much sharper histogram distribution. The experimental results reveal that, without degrading the image quality, the proposed scheme can improve the embedding capacity by 7.9% in average.
AB - In this paper, the authors propose an accurate prediction scheme to improve the histogram modification based reversible information hiding (HMRIH) algorithm. The prediction is based on both local gradients and context pixels. The proposed scheme detects not only the existence of an edge (vertical or horizontal), but also its strength (sharp, normal, or weak). Since such an approach can generate more accurate prediction values, the prediction errors tend to form a much sharper histogram distribution. The experimental results reveal that, without degrading the image quality, the proposed scheme can improve the embedding capacity by 7.9% in average.
UR - http://www.scopus.com/inward/record.url?scp=85017593605&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85017593605&partnerID=8YFLogxK
U2 - 10.1080/03772063.2017.1314200
DO - 10.1080/03772063.2017.1314200
M3 - Article
AN - SCOPUS:85017593605
VL - 63
SP - 643
EP - 650
JO - IETE Journal of Research
JF - IETE Journal of Research
SN - 0377-2063
IS - 5
ER -