IEICE TRANSACTIONS on Information
ROI-Based Reversible Data Hiding Scheme for Medical Images with Tamper Detection
Summary :
A novel ROI-based reversible data hiding scheme is proposed for medical images, which is able to hide electronic patient record (EPR) and protect the region of interest (ROI) with tamper localization and recovery. The proposed scheme combines prediction error expansion with the sorting technique for embedding EPR into ROI, and the recovery information is embedded into the region of non-interest (RONI) using histogram shifting (HS) method which hardly leads to the overflow and underflow problems. The experimental results show that the proposed scheme not only can embed a large amount of information with low distortion, but also can localize and recover the tampered area inside ROI.
- Publication
- IEICE TRANSACTIONS on Information Vol.E98-D No.4 pp.769-774
- Publication Date
- 2015/04/01
- Publicized
- 2014/12/04
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2014ICP0001
- Type of Manuscript
- Special Section PAPER (Special Section on Information and Communication System Security―Against Cyberattacks―)
- Category
- Data Hiding
Authors
Yuling LIU
Hunan University
Xinxin QU
Hunan University
Guojiang XIN
Hunan University of Chinese Medicine
Peng LIU
Hunan University
Keyword
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Yuling LIU, Xinxin QU, Guojiang XIN, Peng LIU, "ROI-Based Reversible Data Hiding Scheme for Medical Images with Tamper Detection" in IEICE TRANSACTIONS on Information,
vol. E98-D, no. 4, pp. 769-774, April 2015, doi: 10.1587/transinf.2014ICP0001.
Abstract: A novel ROI-based reversible data hiding scheme is proposed for medical images, which is able to hide electronic patient record (EPR) and protect the region of interest (ROI) with tamper localization and recovery. The proposed scheme combines prediction error expansion with the sorting technique for embedding EPR into ROI, and the recovery information is embedded into the region of non-interest (RONI) using histogram shifting (HS) method which hardly leads to the overflow and underflow problems. The experimental results show that the proposed scheme not only can embed a large amount of information with low distortion, but also can localize and recover the tampered area inside ROI.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2014ICP0001/_p
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@ARTICLE{e98-d_4_769,
author={Yuling LIU, Xinxin QU, Guojiang XIN, Peng LIU, },
journal={IEICE TRANSACTIONS on Information},
title={ROI-Based Reversible Data Hiding Scheme for Medical Images with Tamper Detection},
year={2015},
volume={E98-D},
number={4},
pages={769-774},
abstract={A novel ROI-based reversible data hiding scheme is proposed for medical images, which is able to hide electronic patient record (EPR) and protect the region of interest (ROI) with tamper localization and recovery. The proposed scheme combines prediction error expansion with the sorting technique for embedding EPR into ROI, and the recovery information is embedded into the region of non-interest (RONI) using histogram shifting (HS) method which hardly leads to the overflow and underflow problems. The experimental results show that the proposed scheme not only can embed a large amount of information with low distortion, but also can localize and recover the tampered area inside ROI.},
keywords={},
doi={10.1587/transinf.2014ICP0001},
ISSN={1745-1361},
month={April},}
Copy
TY - JOUR
TI - ROI-Based Reversible Data Hiding Scheme for Medical Images with Tamper Detection
T2 - IEICE TRANSACTIONS on Information
SP - 769
EP - 774
AU - Yuling LIU
AU - Xinxin QU
AU - Guojiang XIN
AU - Peng LIU
PY - 2015
DO - 10.1587/transinf.2014ICP0001
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E98-D
IS - 4
JA - IEICE TRANSACTIONS on Information
Y1 - April 2015
AB - A novel ROI-based reversible data hiding scheme is proposed for medical images, which is able to hide electronic patient record (EPR) and protect the region of interest (ROI) with tamper localization and recovery. The proposed scheme combines prediction error expansion with the sorting technique for embedding EPR into ROI, and the recovery information is embedded into the region of non-interest (RONI) using histogram shifting (HS) method which hardly leads to the overflow and underflow problems. The experimental results show that the proposed scheme not only can embed a large amount of information with low distortion, but also can localize and recover the tampered area inside ROI.
ER -
English
