Maximum likelihood sequence decoding of digital image watermarking

George F. Elmasry; Yun Q. Shi

Maximum likelihood sequence decoding of digital image watermarking

George F. Elmasry, Yun Q. Shi

Electrical and Computer Engineering

Research output: Contribution to journal › Conference article › peer-review

4 Scopus citations

Abstract

This paper explores possible methods to detect the watermark signal. We show how using sequence detection techniques, such as maximum likelihood sequence detection (MLSD), can provide the same performance as conventionally used correlation detection while simplifying the detection process. As a result, we can increase the dimension of the watermark signal (achieving higher capacity), and keep the increase in computational complexity manageable. We will also show that with MLSD, we can have a measure of confidence level of the detected signal that is directly dependent on the watermark signal to noise ratio (SNR_wm).

Original language	English (US)
Pages (from-to)	425-436
Number of pages	12
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	3657
State	Published - Jan 1 1999
Event	Proceedings of the 1999 Security and Watermarking of Multimedia Contents - San Jose, CA, USA Duration: Jan 25 1999 → Jan 27 1999

All Science Journal Classification (ASJC) codes

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Applied Mathematics
Electrical and Electronic Engineering
Computer Science Applications

Cite this

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title = "Maximum likelihood sequence decoding of digital image watermarking",

abstract = "This paper explores possible methods to detect the watermark signal. We show how using sequence detection techniques, such as maximum likelihood sequence detection (MLSD), can provide the same performance as conventionally used correlation detection while simplifying the detection process. As a result, we can increase the dimension of the watermark signal (achieving higher capacity), and keep the increase in computational complexity manageable. We will also show that with MLSD, we can have a measure of confidence level of the detected signal that is directly dependent on the watermark signal to noise ratio (SNRwm).",

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year = "1999",

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journal = "Proceedings of SPIE - The International Society for Optical Engineering",

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note = "Proceedings of the 1999 Security and Watermarking of Multimedia Contents ; Conference date: 25-01-1999 Through 27-01-1999",

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T1 - Maximum likelihood sequence decoding of digital image watermarking

AU - Elmasry, George F.

AU - Shi, Yun Q.

PY - 1999/1/1

Y1 - 1999/1/1

N2 - This paper explores possible methods to detect the watermark signal. We show how using sequence detection techniques, such as maximum likelihood sequence detection (MLSD), can provide the same performance as conventionally used correlation detection while simplifying the detection process. As a result, we can increase the dimension of the watermark signal (achieving higher capacity), and keep the increase in computational complexity manageable. We will also show that with MLSD, we can have a measure of confidence level of the detected signal that is directly dependent on the watermark signal to noise ratio (SNRwm).

AB - This paper explores possible methods to detect the watermark signal. We show how using sequence detection techniques, such as maximum likelihood sequence detection (MLSD), can provide the same performance as conventionally used correlation detection while simplifying the detection process. As a result, we can increase the dimension of the watermark signal (achieving higher capacity), and keep the increase in computational complexity manageable. We will also show that with MLSD, we can have a measure of confidence level of the detected signal that is directly dependent on the watermark signal to noise ratio (SNRwm).

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M3 - Conference article

AN - SCOPUS:0033601659

SN - 0277-786X

VL - 3657

SP - 425

EP - 436

JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

T2 - Proceedings of the 1999 Security and Watermarking of Multimedia Contents

Y2 - 25 January 1999 through 27 January 1999

ER -

Maximum likelihood sequence decoding of digital image watermarking

Abstract

All Science Journal Classification (ASJC) codes

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