Abstract
This paper presents an image watermarking method based on fuzzy image filter. In the embedding process, a unique Gaussian noise-like watermark is added into the blue color component from the RGB color space of original image. The value of each embedding bit is secured by the use of a secret key-based stream cipher. In the extraction process, a blind detection approach is used so that the original image is not required. The decreasing weight fuzzy filter with moving average value (DWMAV) is considered and applied to the watermarked component to remove the added watermark so that the original blue color component can be estimated. The extracted watermark is finally obtained by subtracting the estimated blue color component from the watermarked one. For performance comparison purpose, the weighted Peak Signal-to-Noise Ratio (wPSNR) is used for evaluating the quality of watermarked image, the normal correlation (NC) for the accuracy of extracted watermark, and the Stirmark benchmark for the robustness of embedded watermark. Experimental results confirm superiority of the proposed watermarking method compared to the two similar previous methods.
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Ula, K.M.S., Pramoun, T., Toomnark, S., Amornraksa, T. (2019). Digital Image Watermarking Based on Fuzzy Image Filter. In: Unger, H., Sodsee, S., Meesad, P. (eds) Recent Advances in Information and Communication Technology 2018. IC2IT 2018. Advances in Intelligent Systems and Computing, vol 769. Springer, Cham. https://doi.org/10.1007/978-3-319-93692-5_16
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DOI: https://doi.org/10.1007/978-3-319-93692-5_16
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