Improve robustness of image watermarking via adaptive receiving

Xiangui Kang; Jiwu Huang; Yun Q. Shi

doi:10.1109/ICIP.2004.1421570

Improve robustness of image watermarking via adaptive receiving

Xiangui Kang, Jiwu Huang, Yun Q. Shi

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Almost all the existing popular watermarking schemes model the watermarking channel noises as additive noise with zero-mean. However, our experiments show that this is not reasonable in the case of channel noise introduced by image filtering. This paper presents a new quantization-based watermarking scheme with enhanced robustness via adaptive receiving and Turbo coding in addition to other measures. The present algorithm can successfully resist almost all the StirMark testing functions including both common signal processing and geometric distortions in StirMark 4.0 except for random distortion.

Original language	English (US)
Title of host publication	2004 International Conference on Image Processing, ICIP 2004
Pages	2343-2346
Number of pages	4
DOIs	https://doi.org/10.1109/ICIP.2004.1421570
State	Published - 2004
Event	2004 International Conference on Image Processing, ICIP 2004 - , Singapore Duration: Oct 18 2004 → Oct 21 2004

Publication series

Name	Proceedings - International Conference on Image Processing, ICIP
Volume	4
ISSN (Print)	1522-4880

Other

Other	2004 International Conference on Image Processing, ICIP 2004
Country/Territory	Singapore
Period	10/18/04 → 10/21/04

All Science Journal Classification (ASJC) codes

General Engineering

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10.1109/ICIP.2004.1421570

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title = "Improve robustness of image watermarking via adaptive receiving",

abstract = "Almost all the existing popular watermarking schemes model the watermarking channel noises as additive noise with zero-mean. However, our experiments show that this is not reasonable in the case of channel noise introduced by image filtering. This paper presents a new quantization-based watermarking scheme with enhanced robustness via adaptive receiving and Turbo coding in addition to other measures. The present algorithm can successfully resist almost all the StirMark testing functions including both common signal processing and geometric distortions in StirMark 4.0 except for random distortion.",

author = "Xiangui Kang and Jiwu Huang and Shi, {Yun Q.}",

year = "2004",

doi = "10.1109/ICIP.2004.1421570",

language = "English (US)",

isbn = "0780385543",

series = "Proceedings - International Conference on Image Processing, ICIP",

pages = "2343--2346",

booktitle = "2004 International Conference on Image Processing, ICIP 2004",

note = "2004 International Conference on Image Processing, ICIP 2004 ; Conference date: 18-10-2004 Through 21-10-2004",

}

Kang, X, Huang, J & Shi, YQ 2004, Improve robustness of image watermarking via adaptive receiving. in 2004 International Conference on Image Processing, ICIP 2004. Proceedings - International Conference on Image Processing, ICIP, vol. 4, pp. 2343-2346, 2004 International Conference on Image Processing, ICIP 2004, Singapore, 10/18/04. https://doi.org/10.1109/ICIP.2004.1421570

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AU - Huang, Jiwu

AU - Shi, Yun Q.

PY - 2004

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N2 - Almost all the existing popular watermarking schemes model the watermarking channel noises as additive noise with zero-mean. However, our experiments show that this is not reasonable in the case of channel noise introduced by image filtering. This paper presents a new quantization-based watermarking scheme with enhanced robustness via adaptive receiving and Turbo coding in addition to other measures. The present algorithm can successfully resist almost all the StirMark testing functions including both common signal processing and geometric distortions in StirMark 4.0 except for random distortion.

AB - Almost all the existing popular watermarking schemes model the watermarking channel noises as additive noise with zero-mean. However, our experiments show that this is not reasonable in the case of channel noise introduced by image filtering. This paper presents a new quantization-based watermarking scheme with enhanced robustness via adaptive receiving and Turbo coding in addition to other measures. The present algorithm can successfully resist almost all the StirMark testing functions including both common signal processing and geometric distortions in StirMark 4.0 except for random distortion.

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U2 - 10.1109/ICIP.2004.1421570

DO - 10.1109/ICIP.2004.1421570

M3 - Conference contribution

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T3 - Proceedings - International Conference on Image Processing, ICIP

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EP - 2346

BT - 2004 International Conference on Image Processing, ICIP 2004

T2 - 2004 International Conference on Image Processing, ICIP 2004

Y2 - 18 October 2004 through 21 October 2004

ER -

Improve robustness of image watermarking via adaptive receiving

Abstract

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