Design an aperiodic stochastic resonance signal processor for digital watermarking

Shuifa SUN; Bangjun LEI; Sheng ZHENG; Sam KWONG; Xuejun ZHOU

doi:10.1007/978-3-540-92238-4_27

Design an aperiodic stochastic resonance signal processor for digital watermarking

Shuifa SUN, Bangjun LEI, Sheng ZHENG, Sam KWONG, Xuejun ZHOU

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

Abstract

In this paper, we propose an aperiodic stochastic resonance (ASR) signal processor for communication systems based on a bi-stable mechanism. This processor can detect base-band binary pulse amplitude modulation (PAM) signals. In this processor related parameters can be adjusted. The adjustment mechanism is explained from the perspective of the conventional noise-induced nonlinear signal processing. To demonstrate this processors usability, based on it we implemented a digital image watermarking algorithm in the discrete cosine transform (DCT) domain. In this algorithm, the watermark and the DCT alternating current (ac) coefficients of the image are viewed as the input signal and the channel noise, respectively. This phenomenon that the detection bit error ratio (BER) of the system suffering from certain attacks is lower than that of the system not suffering from any attack is systematically analyzed. © 2008 Springer Berlin Heidelberg.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages	350-364
DOIs	https://doi.org/10.1007/978-3-540-92238-4_27
Publication status	Published - 2008
Externally published	Yes

Keywords

Digital watermarking
Signal processing
Stochastic resonance

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10.1007/978-3-540-92238-4_27

Cite this

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title = "Design an aperiodic stochastic resonance signal processor for digital watermarking",

abstract = "In this paper, we propose an aperiodic stochastic resonance (ASR) signal processor for communication systems based on a bi-stable mechanism. This processor can detect base-band binary pulse amplitude modulation (PAM) signals. In this processor related parameters can be adjusted. The adjustment mechanism is explained from the perspective of the conventional noise-induced nonlinear signal processing. To demonstrate this processors usability, based on it we implemented a digital image watermarking algorithm in the discrete cosine transform (DCT) domain. In this algorithm, the watermark and the DCT alternating current (ac) coefficients of the image are viewed as the input signal and the channel noise, respectively. This phenomenon that the detection bit error ratio (BER) of the system suffering from certain attacks is lower than that of the system not suffering from any attack is systematically analyzed. {\textcopyright} 2008 Springer Berlin Heidelberg.",

keywords = "Digital watermarking, Signal processing, Stochastic resonance",

author = "Shuifa SUN and Bangjun LEI and Sheng ZHENG and Sam KWONG and Xuejun ZHOU",

year = "2008",

doi = "10.1007/978-3-540-92238-4_27",

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pages = "350--364",

booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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Design an aperiodic stochastic resonance signal processor for digital watermarking. / SUN, Shuifa; LEI, Bangjun; ZHENG, Sheng et al.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2008. p. 350-364.

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

TY - GEN

T1 - Design an aperiodic stochastic resonance signal processor for digital watermarking

AU - SUN, Shuifa

AU - LEI, Bangjun

AU - ZHENG, Sheng

AU - KWONG, Sam

AU - ZHOU, Xuejun

PY - 2008

Y1 - 2008

N2 - In this paper, we propose an aperiodic stochastic resonance (ASR) signal processor for communication systems based on a bi-stable mechanism. This processor can detect base-band binary pulse amplitude modulation (PAM) signals. In this processor related parameters can be adjusted. The adjustment mechanism is explained from the perspective of the conventional noise-induced nonlinear signal processing. To demonstrate this processors usability, based on it we implemented a digital image watermarking algorithm in the discrete cosine transform (DCT) domain. In this algorithm, the watermark and the DCT alternating current (ac) coefficients of the image are viewed as the input signal and the channel noise, respectively. This phenomenon that the detection bit error ratio (BER) of the system suffering from certain attacks is lower than that of the system not suffering from any attack is systematically analyzed. © 2008 Springer Berlin Heidelberg.

AB - In this paper, we propose an aperiodic stochastic resonance (ASR) signal processor for communication systems based on a bi-stable mechanism. This processor can detect base-band binary pulse amplitude modulation (PAM) signals. In this processor related parameters can be adjusted. The adjustment mechanism is explained from the perspective of the conventional noise-induced nonlinear signal processing. To demonstrate this processors usability, based on it we implemented a digital image watermarking algorithm in the discrete cosine transform (DCT) domain. In this algorithm, the watermark and the DCT alternating current (ac) coefficients of the image are viewed as the input signal and the channel noise, respectively. This phenomenon that the detection bit error ratio (BER) of the system suffering from certain attacks is lower than that of the system not suffering from any attack is systematically analyzed. © 2008 Springer Berlin Heidelberg.

KW - Digital watermarking

KW - Signal processing

KW - Stochastic resonance

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U2 - 10.1007/978-3-540-92238-4_27

DO - 10.1007/978-3-540-92238-4_27

M3 - Conference paper (refereed)

SP - 350

EP - 364

BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

ER -

Design an aperiodic stochastic resonance signal processor for digital watermarking

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Keywords

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