IEICE TRANSACTIONS on Information
Image Watermarking Method Satisfying IHC by Using PEG LDPC Code
Summary :
We propose a digital image watermarking method satisfying information hiding criteria (IHC) for robustness against JPEG compression, cropping, scaling, and rotation. When a stego-image is cropped, the marking positions of watermarks are unclear. To detect the position in a cropped stego-image, a marker or synchronization code is embedded with the watermarks in a lattice pattern. Attacks by JPEG compression, scaling, and rotation cause errors in extracted watermarks. Against such errors, the same watermarks are repeatedly embedded in several areas. The number of errors in the extracted watermarks can be reduced by using a weighted majority voting (WMV) algorithm. To correct residual errors in output of the WMV algorithm, we use a high-performance error-correcting code: a low-density parity-check (LDPC) code constructed by progressive edge-growth (PEG). In computer simulations using the IHC ver. 4 the proposed method could a bit error rate of 0, the average PSNR was 41.136 dB, and the computational time for synchronization recovery was less than 10 seconds. The proposed method can thus provide high image quality and fast synchronization recovery.
- Publication
- IEICE TRANSACTIONS on Information Vol.E100-D No.1 pp.13-23
- Publication Date
- 2017/01/01
- Publicized
- 2016/10/07
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2016MUP0003
- Type of Manuscript
- Special Section PAPER (Special Section on Enriched Multimedia —New Technology Trends in Creation, Utilization and Protection of Multimedia Information—)
- Category
Authors
Nobuhiro HIRATA
Yamaguchi University
Takayuki NOZAKI
Yamaguchi University
Masaki KAWAMURA
Yamaguchi University
Keyword
Latest Issue
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Nobuhiro HIRATA, Takayuki NOZAKI, Masaki KAWAMURA, "Image Watermarking Method Satisfying IHC by Using PEG LDPC Code" in IEICE TRANSACTIONS on Information,
vol. E100-D, no. 1, pp. 13-23, January 2017, doi: 10.1587/transinf.2016MUP0003.
Abstract: We propose a digital image watermarking method satisfying information hiding criteria (IHC) for robustness against JPEG compression, cropping, scaling, and rotation. When a stego-image is cropped, the marking positions of watermarks are unclear. To detect the position in a cropped stego-image, a marker or synchronization code is embedded with the watermarks in a lattice pattern. Attacks by JPEG compression, scaling, and rotation cause errors in extracted watermarks. Against such errors, the same watermarks are repeatedly embedded in several areas. The number of errors in the extracted watermarks can be reduced by using a weighted majority voting (WMV) algorithm. To correct residual errors in output of the WMV algorithm, we use a high-performance error-correcting code: a low-density parity-check (LDPC) code constructed by progressive edge-growth (PEG). In computer simulations using the IHC ver. 4 the proposed method could a bit error rate of 0, the average PSNR was 41.136 dB, and the computational time for synchronization recovery was less than 10 seconds. The proposed method can thus provide high image quality and fast synchronization recovery.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2016MUP0003/_p
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@ARTICLE{e100-d_1_13,
author={Nobuhiro HIRATA, Takayuki NOZAKI, Masaki KAWAMURA, },
journal={IEICE TRANSACTIONS on Information},
title={Image Watermarking Method Satisfying IHC by Using PEG LDPC Code},
year={2017},
volume={E100-D},
number={1},
pages={13-23},
abstract={We propose a digital image watermarking method satisfying information hiding criteria (IHC) for robustness against JPEG compression, cropping, scaling, and rotation. When a stego-image is cropped, the marking positions of watermarks are unclear. To detect the position in a cropped stego-image, a marker or synchronization code is embedded with the watermarks in a lattice pattern. Attacks by JPEG compression, scaling, and rotation cause errors in extracted watermarks. Against such errors, the same watermarks are repeatedly embedded in several areas. The number of errors in the extracted watermarks can be reduced by using a weighted majority voting (WMV) algorithm. To correct residual errors in output of the WMV algorithm, we use a high-performance error-correcting code: a low-density parity-check (LDPC) code constructed by progressive edge-growth (PEG). In computer simulations using the IHC ver. 4 the proposed method could a bit error rate of 0, the average PSNR was 41.136 dB, and the computational time for synchronization recovery was less than 10 seconds. The proposed method can thus provide high image quality and fast synchronization recovery.},
keywords={},
doi={10.1587/transinf.2016MUP0003},
ISSN={1745-1361},
month={January},}
Copy
TY - JOUR
TI - Image Watermarking Method Satisfying IHC by Using PEG LDPC Code
T2 - IEICE TRANSACTIONS on Information
SP - 13
EP - 23
AU - Nobuhiro HIRATA
AU - Takayuki NOZAKI
AU - Masaki KAWAMURA
PY - 2017
DO - 10.1587/transinf.2016MUP0003
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E100-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 2017
AB - We propose a digital image watermarking method satisfying information hiding criteria (IHC) for robustness against JPEG compression, cropping, scaling, and rotation. When a stego-image is cropped, the marking positions of watermarks are unclear. To detect the position in a cropped stego-image, a marker or synchronization code is embedded with the watermarks in a lattice pattern. Attacks by JPEG compression, scaling, and rotation cause errors in extracted watermarks. Against such errors, the same watermarks are repeatedly embedded in several areas. The number of errors in the extracted watermarks can be reduced by using a weighted majority voting (WMV) algorithm. To correct residual errors in output of the WMV algorithm, we use a high-performance error-correcting code: a low-density parity-check (LDPC) code constructed by progressive edge-growth (PEG). In computer simulations using the IHC ver. 4 the proposed method could a bit error rate of 0, the average PSNR was 41.136 dB, and the computational time for synchronization recovery was less than 10 seconds. The proposed method can thus provide high image quality and fast synchronization recovery.
ER -
English
