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Secure Randomized Image Watermarking Based on Singular Value Decomposition
DOI:10.1145/2542205.2542207.png)
摘要
En 中文
In this article, a novel logo watermarking scheme is proposed based on wavelet frame transform, singular value decomposition and automatic thresholding. The proposed scheme essentially rectifies the ambiguity problem in the SVD-based watermarking. The core idea is to randomly upscale the size of host image using reversible random extension transform followed by the embedding of logo watermark in the wavelet frame domain. After embedding, a verification phase is casted with the help of a binary watermark and toral automorphism. At the extraction end, the binary watermark is first extracted followed by the verification of watermarked image. The logo watermark is extracted if and only if the watermarked image is verified. The security, attack and comparative analysis confirm high security, efficiency and robustness of the proposed watermarking system. Categories and Subject Descriptors: H.4.3 [Information Systems Applications]: Communications Applications
Keyword:
Security
Verification
Digital watermarking
reversible random extension transform
chaotic map
wavelet frame transform
automatic thresholding
singular value decomposition
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期刊
IF:
6
论文数:
2.0K
被引数:
5.4K
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引用论文
Image thresholding based on the EM algorithm and the generalized Gaussian distribution
PATTERN RECOGNITION
IF7.6

