Wavelet-based Digital Image Watermarking by using Lorenz Chaotic Signal Localization

Jantana Panyavaraporn and Paramate Horkaew
Volume: 15, No: 1, Page: 169 ~ 180, Year: 2019
Keywords: Binary Image, Chaotic Signal, QR Code, Watermarking, Wavelet Analysis
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Transmitting visual information over a broadcasting network is not only prone to a copyright violation but also is a forgery. Authenticating such information and protecting its authorship rights call for more advanced data encoding. To this end, electronic watermarking is often adopted to embed inscriptive signature in imaging data. Most existing watermarking methods while focusing on robustness against degradation remain lacking of measurement against security loophole in which the encrypting scheme once discovered may be recreated by an unauthorized party. This could reveal the underlying signature which may potentially be replaced or forged. This paper therefore proposes a novel digital watermarking scheme in temporal-frequency domain. Unlike other typical wavelet based watermarking, the proposed scheme employed the Lorenz chaotic map to specify embedding positions. Effectively making this is not only a formidable method to decrypt but also a stronger will against deterministic attacks. Simulation report herein highlights its strength to withstand spatial and frequent adulterations, e.g., lossy compression, filtering, zooming and noise.

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Cite this article
IEEE Style
J. P. P. Horkaew, "Wavelet-based Digital Image Watermarking by using Lorenz Chaotic Signal Localization," Journal of Information Processing Systems, vol. 15, no. 1, pp. 169~180, 2019. DOI: 10.3745/JIPS.03.0109.

ACM Style
Jantana Panyavaraporn and Paramate Horkaew. 2019. Wavelet-based Digital Image Watermarking by using Lorenz Chaotic Signal Localization, Journal of Information Processing Systems, 15, 1, (2019), 169~180. DOI: 10.3745/JIPS.03.0109.