Wavelet-based Digital Image Watermarking by using Lorenz Chaotic Signal Localization
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초록
Transmitting visual information over a broadcasting network is not only prone to a copyright violation but alsois a forgery. Authenticating such information and protecting its authorship rights call for more advanced dataencoding. 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 ofmeasurement against security loophole in which the encrypting scheme once discovered may be recreated byan 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. Unlikeother typical wavelet based watermarking, the proposed scheme employed the Lorenz chaotic map to specifyembedding positions. Effectively making this is not only a formidable method to decrypt but also a strongerwill against deterministic attacks. Simulation report herein highlights its strength to withstand spatial andfrequent adulterations, e.g., lossy compression, filtering, zooming and noise.
Abstract
Transmitting visual information over a broadcasting network is not only prone to a copyright violation but alsois a forgery. Authenticating such information and protecting its authorship rights call for more advanced dataencoding. 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 ofmeasurement against security loophole in which the encrypting scheme once discovered may be recreated byan 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. Unlikeother typical wavelet based watermarking, the proposed scheme employed the Lorenz chaotic map to specifyembedding positions. Effectively making this is not only a formidable method to decrypt but also a strongerwill against deterministic attacks. Simulation report herein highlights its strength to withstand spatial andfrequent adulterations, e.g., lossy compression, filtering, zooming and noise.
참고문헌 (28)
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- "Lorenz equations"[URL]