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Improving Scanned Binary Image Watermarking Based On Additive Model and Sampling

机译:基于加性模型和采样的二进制图像扫描水印改进

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The SBWBAMS (Scanned Binary Image Watermarking Based on Additive Model and Sampling) algorithm proposed by Hou et al. owns strong robustness to the process of printing and scanning process. However, because the embedding strength used in the algorithm is set artificially, watermark information may not be correctly embedded into binary image when the embedding strength is low. Firstly, the minimum embedding strength to embed watermark correctly is analyzed in this paper, and then an improved binary image watermarking algorithm based on adaptive embedding strength is proposed. The proposed algorithm adjusts embedding strength adaptively according to image content, ensuring that the embedded watermark information is correct. The experimental results show that the proposed algorithm can not only embed and extract the watermark information correctly, but also still own strong robustness to the process of printing and scanning process.
机译:Hou等人提出的SBWBAMS(基于加性模型和采样的扫描二进制图像水印)算法。对打印和扫描过程具有很强的鲁棒性。但是,由于算法中使用的嵌入强度是人为设置的,因此当嵌入强度较低时,水印信息可能无法正确嵌入到二进制图像中。本文首先分析了正确嵌入水印的最小嵌入强度,然后提出了一种基于自适应嵌入强度的改进二值图像水印算法。该算法根据图像内容自适应调整嵌入强度,确保嵌入的水印信息正确。实验结果表明,该算法不仅可以正确地嵌入和提取水印信息,而且对打印和扫描过程仍具有很强的鲁棒性。

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