Hiding Secret Information Using Adaptive Side-Match VQ
Summary :
The major application of digital data hiding techniques is to deliver confidential data secretly via public but unreliable computer networks. Most of the existing data hiding schemes, however, exploit the raw data of cover images to perform secret communications. In this paper, a novel data hiding scheme was presented with the manipulation of images based on the compression of side-match vector quantization (SMVQ). This proposed scheme provided adaptive alternatives for modulating the quantized indices in the compressed domain so that a considerable quantity of secret data could be artfully embedded. As the experimental results demonstrated, the proposed scheme indeed provided a larger payload capacity without making noticeable distortions in comparison with schemes proposed in earlier works. Furthermore, this scheme also presented a satisfactory compression performance.
- Publication
- IEICE TRANSACTIONS on Information Vol.E90-D No.10 pp.1678-1686
- Publication Date
- 2007/10/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1093/ietisy/e90-d.10.1678
- Type of Manuscript
- PAPER
- Category
- Application Information Security
Authors
Keyword
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Chin-Chen CHANG, Wen-Chuan WU, Chih-Chiang TSOU, "Hiding Secret Information Using Adaptive Side-Match VQ" in IEICE TRANSACTIONS on Information,
vol. E90-D, no. 10, pp. 1678-1686, October 2007, doi: 10.1093/ietisy/e90-d.10.1678.
Abstract: The major application of digital data hiding techniques is to deliver confidential data secretly via public but unreliable computer networks. Most of the existing data hiding schemes, however, exploit the raw data of cover images to perform secret communications. In this paper, a novel data hiding scheme was presented with the manipulation of images based on the compression of side-match vector quantization (SMVQ). This proposed scheme provided adaptive alternatives for modulating the quantized indices in the compressed domain so that a considerable quantity of secret data could be artfully embedded. As the experimental results demonstrated, the proposed scheme indeed provided a larger payload capacity without making noticeable distortions in comparison with schemes proposed in earlier works. Furthermore, this scheme also presented a satisfactory compression performance.
URL: https://global.ieice.org/en_transactions/information/10.1093/ietisy/e90-d.10.1678/_p
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@ARTICLE{e90-d_10_1678,
author={Chin-Chen CHANG, Wen-Chuan WU, Chih-Chiang TSOU, },
journal={IEICE TRANSACTIONS on Information},
title={Hiding Secret Information Using Adaptive Side-Match VQ},
year={2007},
volume={E90-D},
number={10},
pages={1678-1686},
abstract={The major application of digital data hiding techniques is to deliver confidential data secretly via public but unreliable computer networks. Most of the existing data hiding schemes, however, exploit the raw data of cover images to perform secret communications. In this paper, a novel data hiding scheme was presented with the manipulation of images based on the compression of side-match vector quantization (SMVQ). This proposed scheme provided adaptive alternatives for modulating the quantized indices in the compressed domain so that a considerable quantity of secret data could be artfully embedded. As the experimental results demonstrated, the proposed scheme indeed provided a larger payload capacity without making noticeable distortions in comparison with schemes proposed in earlier works. Furthermore, this scheme also presented a satisfactory compression performance.},
keywords={},
doi={10.1093/ietisy/e90-d.10.1678},
ISSN={1745-1361},
month={October},}
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TY - JOUR
TI - Hiding Secret Information Using Adaptive Side-Match VQ
T2 - IEICE TRANSACTIONS on Information
SP - 1678
EP - 1686
AU - Chin-Chen CHANG
AU - Wen-Chuan WU
AU - Chih-Chiang TSOU
PY - 2007
DO - 10.1093/ietisy/e90-d.10.1678
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E90-D
IS - 10
JA - IEICE TRANSACTIONS on Information
Y1 - October 2007
AB - The major application of digital data hiding techniques is to deliver confidential data secretly via public but unreliable computer networks. Most of the existing data hiding schemes, however, exploit the raw data of cover images to perform secret communications. In this paper, a novel data hiding scheme was presented with the manipulation of images based on the compression of side-match vector quantization (SMVQ). This proposed scheme provided adaptive alternatives for modulating the quantized indices in the compressed domain so that a considerable quantity of secret data could be artfully embedded. As the experimental results demonstrated, the proposed scheme indeed provided a larger payload capacity without making noticeable distortions in comparison with schemes proposed in earlier works. Furthermore, this scheme also presented a satisfactory compression performance.
ER -
English
