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A New Scalar Quantization Method for Digital Image Watermarking

Zolotavkin, Yevhen and Juhola, M 2016, A New Scalar Quantization Method for Digital Image Watermarking, Journal of Electrical and Computer Engineering, vol. 2016, pp. 1-16, doi: 10.1155/2016/9029745.

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Title A New Scalar Quantization Method for Digital Image Watermarking
Author(s) Zolotavkin, Yevhen
Juhola, M
Journal name Journal of Electrical and Computer Engineering
Volume number 2016
Article ID 9029745
Start page 1
End page 16
Total pages 16
Publisher Hindawi Limited
Place of publication London, Eng.
Publication date 2016
ISSN 2090-0147
2090-0155
Summary A new technique utilizing Scalar Quantization is designed in this paper in order to be used for Digital Image Watermarking (DIW). Efficiency of the technique is measured in terms of distortions of the original image and robustness under different kinds of attacks, with particular focus on Additive White Gaussian Noise (AWGN) and Gain Attack (GA). The proposed technique performance is affirmed by comparing with state-of-the-art methods including Quantization Index Modulation (QIM), Distortion Compensated QIM (DC-QIM), and Rational Dither Modulation (RDM). Considerable improvements demonstrated by the method are due to a new form of distribution of quantized samples and a procedure that recovers a watermark after GA. In contrast to other known quantization methods, the detailed method here stipulates asymmetric distribution of quantized samples. This creates a distinctive feature and is expressed numerically by one of the proposed criteria. In addition, several realizations of quantization are considered and explained using a concept of Initial Data Loss (IDL) which helps to reduce watermarking distortions. The procedure for GA recovery exploits one of the two criteria of asymmetry. The accomplishments of the procedure are due to its simplicity, computational lightness, and sufficient precision of estimation of unknown gain factor
Language eng
DOI 10.1155/2016/9029745
Field of Research 0802 Computation Theory and Mathematics
1006 Computer Hardware
HERDC Research category C1.1 Refereed article in a scholarly journal
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30156567

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.