IEICE TRANSACTIONS on Fundamentals
Blind Compressive Sensing Detection of Watermark Coded by Limited-Random Sequence
Summary :
Due to the fact that natural images are approximately sparse in Discrete Cosine Transform (DCT) or wavelet basis, the Compressive Sensing (CS) can be employed to decode both the host image and watermark with zero error, despite not knowing the host image. In this paper, Limited-Random Sequence (LRS) matrix is utilized to implement the blind CS detection, which benefits from zero error and lower complexity. The performance in Bit Error Rate (BER) and error-free detection probability confirms the validity and efficiency of the proposed scheme.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E98-A No.8 pp.1747-1750
- Publication Date
- 2015/08/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E98.A.1747
- Type of Manuscript
- Special Section LETTER (Special Section on Image Media Quality)
- Category
Authors
Chao ZHANG
Tsinghua University
Jialuo XIAO
Tsinghua University
Yaxin ZHANG
Tsinghua University
Keyword
Latest Issue
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Chao ZHANG, Jialuo XIAO, Yaxin ZHANG, "Blind Compressive Sensing Detection of Watermark Coded by Limited-Random Sequence" in IEICE TRANSACTIONS on Fundamentals,
vol. E98-A, no. 8, pp. 1747-1750, August 2015, doi: 10.1587/transfun.E98.A.1747.
Abstract: Due to the fact that natural images are approximately sparse in Discrete Cosine Transform (DCT) or wavelet basis, the Compressive Sensing (CS) can be employed to decode both the host image and watermark with zero error, despite not knowing the host image. In this paper, Limited-Random Sequence (LRS) matrix is utilized to implement the blind CS detection, which benefits from zero error and lower complexity. The performance in Bit Error Rate (BER) and error-free detection probability confirms the validity and efficiency of the proposed scheme.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E98.A.1747/_p
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@ARTICLE{e98-a_8_1747,
author={Chao ZHANG, Jialuo XIAO, Yaxin ZHANG, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Blind Compressive Sensing Detection of Watermark Coded by Limited-Random Sequence},
year={2015},
volume={E98-A},
number={8},
pages={1747-1750},
abstract={Due to the fact that natural images are approximately sparse in Discrete Cosine Transform (DCT) or wavelet basis, the Compressive Sensing (CS) can be employed to decode both the host image and watermark with zero error, despite not knowing the host image. In this paper, Limited-Random Sequence (LRS) matrix is utilized to implement the blind CS detection, which benefits from zero error and lower complexity. The performance in Bit Error Rate (BER) and error-free detection probability confirms the validity and efficiency of the proposed scheme.},
keywords={},
doi={10.1587/transfun.E98.A.1747},
ISSN={1745-1337},
month={August},}
Copy
TY - JOUR
TI - Blind Compressive Sensing Detection of Watermark Coded by Limited-Random Sequence
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1747
EP - 1750
AU - Chao ZHANG
AU - Jialuo XIAO
AU - Yaxin ZHANG
PY - 2015
DO - 10.1587/transfun.E98.A.1747
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E98-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 2015
AB - Due to the fact that natural images are approximately sparse in Discrete Cosine Transform (DCT) or wavelet basis, the Compressive Sensing (CS) can be employed to decode both the host image and watermark with zero error, despite not knowing the host image. In this paper, Limited-Random Sequence (LRS) matrix is utilized to implement the blind CS detection, which benefits from zero error and lower complexity. The performance in Bit Error Rate (BER) and error-free detection probability confirms the validity and efficiency of the proposed scheme.
ER -
English
