research-article

Perceptual watermarking using just noticeable difference model based on block classification

Authors:

Ivan Damnjanovic,

Ebroul IzquierdoAuthors Info & Claims

MobiMedia '06: Proceedings of the 2nd international conference on Mobile multimedia communications

Article No.: 36, Pages 1 - 5

https://doi.org/10.1145/1374296.1374335

Published: 18 September 2006 Publication History

Get Access

Abstract

One of the main goals of watermarking is to optimize capacity while preserving high video fidelity. The perceptual adjustment of the watermark is mainly based on Watson Just Noticeable Difference (JND) model. Recently, it was proposed to improve Watson model using the classification blocks inherent to the encoder in a compressed stream. Although, the new model outperforms the previous one, especially in increasing the watermark power in textured blocks, it still underestimates JNDs at block's edges. This work presents a detailed comparison of these two models and proposes a new method that exploits the good characteristics of the two available models. In addition, experimental results on perceptibility are reported.

References

[1]

F. Hartung, and B. Girod, "Watermarking of uncompressed and compressed video," Signal Processing, vol. 66, no. 3, pp. 283--302, 1998.

Digital Library

Google Scholar

[2]

C. I. Podilchuk and W. Zeng, "Image-adaptive watermarking using visual models," IEEE Journal on Special Areas in Communications, vol. 16, no. 4, pp. 525--539, May 1998.

Digital Library

Google Scholar

[3]

I. Cox, M. Miller, and J. Bloom, "Digital Watermarking," Morgan Kaufmann Publisher, 2001, 1--55860-714-5.

Digital Library

Google Scholar

[4]

X. H. Zhang, W. S. Lin and P. Xue, "Imroved Estimation for Just-noticeable Visual Distortions", Signal Processing, vol. 85, no. 4, 2005, pp. 795--808.

Digital Library

Google Scholar

[5]

L. Cheveau, "Choosing A Watermarking System for Digital Television - The Technology and The Compromises", IBC2002 (www.broadcastpapers.com/asset/IBCEBUWatermarking03.htm)

Google Scholar

[6]

A. J. Ahumada, H. A. Peterson and A. B. Watson, "An Improved Detection Model for DCT Coefficients Quantization", ", Proc. of SPIE, Human Vision, Visual and Digital Display IV, ed. B. E. Rogowitz, vol. 1913--14, 1993, pp. 191--201.

Google Scholar

[7]

I. Damnjanovic and E. Izquierdo, "Turbo Coding Protection of Compressed Domain Watermarking Channel", Proc. of IEEE International Conference on Computer as a Tool, Belgrade, Serbia and Montenegro, November 2005.

Crossref

Google Scholar

[8]

C. B. Schlegel and L. C. Perez, "Trellis and Turbo Coding", IEEE Press, 2004, 0-471-22755-2.

Digital Library

Google Scholar

Cited By

View all

Chen QMaítre HDeng Q(2018)Reliable information embedding for image/video in the presence of lossy compressionImage Communication10.1016/j.image.2010.12.00527:1(66-74)Online publication date: 27-Dec-2018
https://dl.acm.org/doi/10.1016/j.image.2010.12.005
Zhi SZhang YYang CLiu J(2014)Edge detection based JND model for digital watermarking2014 12th International Conference on Signal Processing (ICSP)10.1109/ICOSP.2014.7015129(875-879)Online publication date: Oct-2014
https://doi.org/10.1109/ICOSP.2014.7015129
Niu YKrishnan SZhang Q(2012)Spatio-Temporal Just Noticeable Distortion Model Guided Video WatermarkingCrime Prevention Technologies and Applications for Advancing Criminal Investigation10.4018/978-1-4666-1758-2.ch006(66-84)Online publication date: 2012
https://doi.org/10.4018/978-1-4666-1758-2.ch006
Show More Cited By

Index Terms

Perceptual watermarking using just noticeable difference model based on block classification
1. Information systems
  1. Information systems applications
    1. Multimedia information systems

Recommendations

A new video watermarking algorithm based on shot segmentation and block classification

In this paper, we propose a new video watermarking algorithm based on shot segmentation and block classification to enhance the robustness, imperceptibility and real-time performance based on the H.264/AVC codec. A method of selecting host frames is ...
Perceptual watermarking using a new Just-Noticeable-Difference model

In this paper, a new watermarking scheme based on Human Visual System (HVS) modeling is proposed. The approach consists in building computational models which take into account the most common properties of the HVS that can be exploited for ...
Capacity enhancement of compressed domain watermarking channel using duo-binary coding
IWDW'06: Proceedings of the 5th international conference on Digital Watermarking

One of the main goals of watermarking is to optimize capacity while preserving high video fidelity. This paper describes a watermarking scheme based on the spread spectrum paradigm with capacity enhancement using a state-of-the-art error correction ...

Comments

Information & Contributors

Information

Published In

MobiMedia '06: Proceedings of the 2nd international conference on Mobile multimedia communications

September 2006

281 pages

ISBN:1595935177

DOI:10.1145/1374296

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 September 2006

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Funding Sources

Sixth Framework Programme

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

4
Total Citations
View Citations
174
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 01 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Chen QMaítre HDeng Q(2018)Reliable information embedding for image/video in the presence of lossy compressionImage Communication10.1016/j.image.2010.12.00527:1(66-74)Online publication date: 27-Dec-2018
https://dl.acm.org/doi/10.1016/j.image.2010.12.005
Zhi SZhang YYang CLiu J(2014)Edge detection based JND model for digital watermarking2014 12th International Conference on Signal Processing (ICSP)10.1109/ICOSP.2014.7015129(875-879)Online publication date: Oct-2014
https://doi.org/10.1109/ICOSP.2014.7015129
Niu YKrishnan SZhang Q(2012)Spatio-Temporal Just Noticeable Distortion Model Guided Video WatermarkingCrime Prevention Technologies and Applications for Advancing Criminal Investigation10.4018/978-1-4666-1758-2.ch006(66-84)Online publication date: 2012
https://doi.org/10.4018/978-1-4666-1758-2.ch006
Niu YKrishnan SZhang Q(2010)Spatio-Temporal Just Noticeable Distortion Model Guided Video WatermarkingInternational Journal of Digital Crime and Forensics10.4018/jdcf.20101001022:4(16-36)Online publication date: 1-Oct-2010
https://doi.org/10.4018/jdcf.2010100102

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Abstract

References

Cited By

Index Terms

Recommendations

A new video watermarking algorithm based on shot segmentation and block classification

Perceptual watermarking using a new Just-Noticeable-Difference model

Capacity enhancement of compressed domain watermarking channel using duo-binary coding

Comments

Information

Published In

Publisher

Publication History

Permissions

Check for updates

Author Tags

Qualifiers

Funding Sources

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Login options

Full Access

View options

PDF

eReader

Share

Share this Publication link

Share on social media

Affiliations