Abstract
In this paper, an improved lossless data hiding method with histogram shifting for medical images is proposed. In general, medical images consist of many pure black and white points. In the previous studies, it may need a lot of data as a location map to reconstruct the watermark and the cover image. To solve this problem, we present a new method to record the location map. We use two bits for each block to record the information of histogram shifting and one bit to denote the change of each pixel value on the cover image. The purpose of the former two bits is to avoid wrong information in the extracting process, while that of the latter one is to avoid overflow and underflow. Experimental results show that our method can reduce the size of location map up to 95.04% compared to the previous studies.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2016 IEEE International Conference on Industrial Technology, ICIT 2016 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 792-797 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781467380751 |
| DOIs | |
| Publication status | Published - 2016 May 19 |
| Event | IEEE International Conference on Industrial Technology, ICIT 2016 - Taipei, Taiwan Duration: 2016 Mar 14 → 2016 Mar 17 |
Publication series
| Name | Proceedings of the IEEE International Conference on Industrial Technology |
|---|---|
| Volume | 2016-May |
Other
| Other | IEEE International Conference on Industrial Technology, ICIT 2016 |
|---|---|
| Country | Taiwan |
| City | Taipei |
| Period | 16/3/14 → 16/3/17 |
Fingerprint
Keywords
- histogram shifting
- location map
- lossless data hiding
- medical images
ASJC Scopus subject areas
- Computer Science Applications
- Electrical and Electronic Engineering
Cite this
Reversible watermarking for medical images using histogram shifting with location map reduction. / Chen, Nai Kuei; Su, Chung-Yen; Shih, Che Yang; Chen, Yu Tang.
Proceedings - 2016 IEEE International Conference on Industrial Technology, ICIT 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 792-797 7474852 (Proceedings of the IEEE International Conference on Industrial Technology; Vol. 2016-May).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Reversible watermarking for medical images using histogram shifting with location map reduction
AU - Chen, Nai Kuei
AU - Su, Chung-Yen
AU - Shih, Che Yang
AU - Chen, Yu Tang
PY - 2016/5/19
Y1 - 2016/5/19
N2 - In this paper, an improved lossless data hiding method with histogram shifting for medical images is proposed. In general, medical images consist of many pure black and white points. In the previous studies, it may need a lot of data as a location map to reconstruct the watermark and the cover image. To solve this problem, we present a new method to record the location map. We use two bits for each block to record the information of histogram shifting and one bit to denote the change of each pixel value on the cover image. The purpose of the former two bits is to avoid wrong information in the extracting process, while that of the latter one is to avoid overflow and underflow. Experimental results show that our method can reduce the size of location map up to 95.04% compared to the previous studies.
AB - In this paper, an improved lossless data hiding method with histogram shifting for medical images is proposed. In general, medical images consist of many pure black and white points. In the previous studies, it may need a lot of data as a location map to reconstruct the watermark and the cover image. To solve this problem, we present a new method to record the location map. We use two bits for each block to record the information of histogram shifting and one bit to denote the change of each pixel value on the cover image. The purpose of the former two bits is to avoid wrong information in the extracting process, while that of the latter one is to avoid overflow and underflow. Experimental results show that our method can reduce the size of location map up to 95.04% compared to the previous studies.
KW - histogram shifting
KW - location map
KW - lossless data hiding
KW - medical images
UR - http://www.scopus.com/inward/record.url?scp=84974556032&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84974556032&partnerID=8YFLogxK
U2 - 10.1109/ICIT.2016.7474852
DO - 10.1109/ICIT.2016.7474852
M3 - Conference contribution
AN - SCOPUS:84974556032
T3 - Proceedings of the IEEE International Conference on Industrial Technology
SP - 792
EP - 797
BT - Proceedings - 2016 IEEE International Conference on Industrial Technology, ICIT 2016
PB - Institute of Electrical and Electronics Engineers Inc.
ER -