A New QIM-Based Watermarking Method Robust to Gain Attack

We propose a new watermarking method based on quantization index modulation. A concept of initial data loss is introduced in order to increase capacity of the watermarking channel under high intensity additive white Gaussian noise. According to the concept some samples in predefined positions are ig...

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Main Authors: Yevhen Zolotavkin, Martti Juhola
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:International Journal of Digital Multimedia Broadcasting
Online Access:http://dx.doi.org/10.1155/2014/910808
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author Yevhen Zolotavkin
Martti Juhola
author_facet Yevhen Zolotavkin
Martti Juhola
author_sort Yevhen Zolotavkin
collection DOAJ
description We propose a new watermarking method based on quantization index modulation. A concept of initial data loss is introduced in order to increase capacity of the watermarking channel under high intensity additive white Gaussian noise. According to the concept some samples in predefined positions are ignored even though this produces errors in the initial stage of watermark embedding. The proposed method also exploits a new form of distribution of quantized samples where samples that interpret “0” and “1” have differently shaped probability density functions. Compared to well-known watermarking schemes, this provides an increase of capacity under noise attack and introduces a distinctive feature. Two criteria are proposed that express the feature numerically. The criteria are utilized by a procedure for estimation of a gain factor after possible gain attack. Several state-of-the-art quantization-based watermarking methods were used for comparison on a set of natural grayscale images. The superiority of the proposed method has been confirmed for different types of popular attacks.
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spelling doaj-art-23bf7d8107ef43fcbfcfd52a92ac04392025-08-20T03:54:58ZengWileyInternational Journal of Digital Multimedia Broadcasting1687-75781687-75862014-01-01201410.1155/2014/910808910808A New QIM-Based Watermarking Method Robust to Gain AttackYevhen Zolotavkin0Martti Juhola1Research Center for Information and Systems, School of Information Sciences, University of Tampere, Kanslerinrinne 1, 33014 Tampere, FinlandResearch Center for Information and Systems, School of Information Sciences, University of Tampere, Kanslerinrinne 1, 33014 Tampere, FinlandWe propose a new watermarking method based on quantization index modulation. A concept of initial data loss is introduced in order to increase capacity of the watermarking channel under high intensity additive white Gaussian noise. According to the concept some samples in predefined positions are ignored even though this produces errors in the initial stage of watermark embedding. The proposed method also exploits a new form of distribution of quantized samples where samples that interpret “0” and “1” have differently shaped probability density functions. Compared to well-known watermarking schemes, this provides an increase of capacity under noise attack and introduces a distinctive feature. Two criteria are proposed that express the feature numerically. The criteria are utilized by a procedure for estimation of a gain factor after possible gain attack. Several state-of-the-art quantization-based watermarking methods were used for comparison on a set of natural grayscale images. The superiority of the proposed method has been confirmed for different types of popular attacks.http://dx.doi.org/10.1155/2014/910808
spellingShingle Yevhen Zolotavkin
Martti Juhola
A New QIM-Based Watermarking Method Robust to Gain Attack
International Journal of Digital Multimedia Broadcasting
title A New QIM-Based Watermarking Method Robust to Gain Attack
title_full A New QIM-Based Watermarking Method Robust to Gain Attack
title_fullStr A New QIM-Based Watermarking Method Robust to Gain Attack
title_full_unstemmed A New QIM-Based Watermarking Method Robust to Gain Attack
title_short A New QIM-Based Watermarking Method Robust to Gain Attack
title_sort new qim based watermarking method robust to gain attack
url http://dx.doi.org/10.1155/2014/910808
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