Digital image watermarking has been widely used in different applications such as copyright protection of digital media, such as audio, image, and video files. Two opposing criteria of robustness and transparency are the goals of watermarking methods. In this paper, we propose a framework for determining the appropriate embedding strength factor. The framework can use most DWT and DCT based blind watermarking approaches. We use Mask R-CNN on the COCO dataset to find a good strength factor for each sub-block. Experiments show that this method is robust against different attacks and has good transparency.

中文翻译：

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基于神经网络的图像水印嵌入强度自适应控制

数字图像水印已广泛应用于不同的应用，例如数字媒体（如音频、图像和视频文件）的版权保护。鲁棒性和透明度的两个对立标准是水印方法的目标。在本文中，我们提出了一个框架来确定合适的嵌入强度因子。该框架可以使用大多数基于 DWT 和 DCT 的盲水印方法。我们在 COCO 数据集上使用 Mask R-CNN 来为每个子块找到一个好的强度因子。实验表明，该方法对不同攻击具有鲁棒性，并且具有良好的透明度。