Abstract
This paper is to analyze the complexity of the images for the robustness of the watermark, and to propose a digital watermarking algorithm based on threshold classification in the wavelet domain combined with iterative threshold method. In this algorithm, the original image is divided into different parts of blocks. Then parts of the blocks are selected to be embedded with watermark respectively according to the image entropy. The watermark embedding strength for each block is set according to the image entropy. Optimal threshold of low-frequency sub-band from the two-stage decomposition is to be gained one by one with the iterative threshold method. With the optimal threshold derived, the DWT coefficient of the low-frequency sub-bands is to be classified. According to the result of the classification, different methods are used to overlay the watermark signal respectively. The experimental results have shown that, the algorithm has good imperceptibility and robustness to some common attacks.
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© 2015 Springer International Publishing Switzerland
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Chen, Z., Chen, Y., Hu, W., Qian, D. (2015). Wavelet Domain Digital Watermarking Algorithm Based on Threshold Classification . In: Tan, Y., Shi, Y., Buarque, F., Gelbukh, A., Das, S., Engelbrecht, A. (eds) Advances in Swarm and Computational Intelligence. ICSI 2015. Lecture Notes in Computer Science(), vol 9142. Springer, Cham. https://doi.org/10.1007/978-3-319-20469-7_15
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DOI: https://doi.org/10.1007/978-3-319-20469-7_15
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