research-article

A lightweight rao-cauchy detector for additive watermarking in the dwt-domain

Authors:

Peter Meerwald,

Andreas UhlAuthors Info & Claims

MM&Sec '08: Proceedings of the 10th ACM workshop on Multimedia and security

Pages 33 - 42

https://doi.org/10.1145/1411328.1411337

Published: 22 September 2008 Publication History

Abstract

This paper presents a lightweight, asymptotically optimal blind detector for additive spread-spectrum watermark detection in the DWT domain. In our approach, the marginal distributions of the DWT detail subband coefficients are modeled by one-parameter Cauchy distributions and we assume no knowledge of the watermark embedding power. We derive a Rao hypothesis test to detect watermarks of unknown amplitude in Cauchy noise and show that the proposed detector is competitive with the Generalized Gaussian detector, yet is more efficient in terms of required computations.

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Cited By

Jon KLiu JWang XZhu WXing Y(2021)Weighted Hyper-Laplacian Prior with Overlapping Group Sparsity for Image Restoration under Cauchy NoiseJournal of Scientific Computing10.1007/s10915-021-01461-887:3Online publication date: 1-Jun-2021
https://dl.acm.org/doi/10.1007/s10915-021-01461-8
Niu PShen XSong YLiu YWang X(2020)Locally optimum watermark decoder in NSST domain using RSS-based Cauchy distributionMultimedia Tools and Applications10.1007/s11042-020-09621-yOnline publication date: 31-Aug-2020
https://doi.org/10.1007/s11042-020-09621-y
Xiang-yang WSi-yu ZLi WHong-ying YPan-pan N(2019)Locally Optimum Image Watermark Decoder by Modeling NSCT Domain Difference Coefficients with Vector based Cauchy DistributionJournal of Visual Communication and Image Representation10.1016/j.jvcir.2019.05.012Online publication date: Jun-2019
https://doi.org/10.1016/j.jvcir.2019.05.012
Show More Cited By

Index Terms

A lightweight rao-cauchy detector for additive watermarking in the dwt-domain
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision representations
        Image representations

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Published In

cover image ACM Conferences

MM&Sec '08: Proceedings of the 10th ACM workshop on Multimedia and security

September 2008

242 pages

ISBN:9781605580586

DOI:10.1145/1411328

General Chair:
Andrew Ker
University of Oxford, UK
,
Program Chairs:
Jana Dittmann
Otto-von-Guericke University, Magdeburg, Germany
,
Jessica Fridrich
SUNY Binghamton, USA

Copyright © 2008 ACM.

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]

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Publication History

Published: 22 September 2008

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MM&Sec '08

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MM&Sec '08: Multimedia and Security Workshop

September 22 - 23, 2008

Oxford, United Kingdom

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Overall Acceptance Rate 128 of 318 submissions, 40%

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Citations

Cited By

Jon KLiu JWang XZhu WXing Y(2021)Weighted Hyper-Laplacian Prior with Overlapping Group Sparsity for Image Restoration under Cauchy NoiseJournal of Scientific Computing10.1007/s10915-021-01461-887:3Online publication date: 1-Jun-2021
https://dl.acm.org/doi/10.1007/s10915-021-01461-8
Niu PShen XSong YLiu YWang X(2020)Locally optimum watermark decoder in NSST domain using RSS-based Cauchy distributionMultimedia Tools and Applications10.1007/s11042-020-09621-yOnline publication date: 31-Aug-2020
https://doi.org/10.1007/s11042-020-09621-y
Xiang-yang WSi-yu ZLi WHong-ying YPan-pan N(2019)Locally Optimum Image Watermark Decoder by Modeling NSCT Domain Difference Coefficients with Vector based Cauchy DistributionJournal of Visual Communication and Image Representation10.1016/j.jvcir.2019.05.012Online publication date: Jun-2019
https://doi.org/10.1016/j.jvcir.2019.05.012
Chauhan DSingh AAdarsh AKumar BSaini J(2019)Combining Mexican hat wavelet and spread spectrum for adaptive watermarking and its statistical detection using medical imagesMultimedia Tools and Applications10.1007/s11042-017-5348-878:10(12647-12661)Online publication date: 1-May-2019
https://dl.acm.org/doi/10.1007/s11042-017-5348-8
Liu J(2018)An Image Watermarking Algorithm Based on Energy Scheme in the Wavelet Transform Domain2018 IEEE 3rd International Conference on Image, Vision and Computing (ICIVC)10.1109/ICIVC.2018.8492868(668-672)Online publication date: Jun-2018
https://doi.org/10.1109/ICIVC.2018.8492868
Mairgiotis AKondi LYang Y(2018)Weak Signal Watermark Detection Through Rao-T Hypothesis and Lightweight Detection2018 25th IEEE International Conference on Image Processing (ICIP)10.1109/ICIP.2018.8451705(1698-1702)Online publication date: Oct-2018
https://doi.org/10.1109/ICIP.2018.8451705
Mairgiotis AKoliopanos CKondi LVlachos VSavvas ISgouropoulou CPlagianakos VDouligeris CVoyiatzis ITampakas VSoultis G(2017)Rao based watermark detector through two-level hierarchical prior in transform domainProceedings of the 21st Pan-Hellenic Conference on Informatics10.1145/3139367.3139444(1-6)Online publication date: 28-Sep-2017
https://dl.acm.org/doi/10.1145/3139367.3139444
Vadali SRay PMula SVarshney P(2017)Linear Detection of a Weak Signal in Additive Cauchy NoiseIEEE Transactions on Communications10.1109/TCOMM.2016.264759965:3(1061-1076)Online publication date: Mar-2017
https://doi.org/10.1109/TCOMM.2016.2647599
Rabizadeh MAmirmazlaghani MAhmadian-Attari M(2016)A new detector for contourlet domain multiplicative image watermarking using Bessel K form distributionJournal of Visual Communication and Image Representation10.1016/j.jvcir.2016.07.00140:PA(324-334)Online publication date: 1-Oct-2016
https://dl.acm.org/doi/10.1016/j.jvcir.2016.07.001
Amirmazlaghani M(2016)Additive watermark detection in the wavelet domain using 2D-GARCH modelInformation Sciences: an International Journal10.1016/j.ins.2016.06.037370:C(1-17)Online publication date: 20-Nov-2016
https://dl.acm.org/doi/10.1016/j.ins.2016.06.037
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