A watermarked image search method using compressed representation by a convolutional autoencoder
A watermarked image search method using compressed representation by a convolutional autoencoder
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一种使用卷积自动编码器压缩表示的水印图像搜索方法
DOI：
10.1117/12.2588702
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Fujimura Makoto
中科院分区：
文献类型：
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作者：
Imamura Kousuke;Watanabe Kentaro;Kuroda Hideo;Fujimura Makoto
数字水印技术是防止图像非法复制的主要手段。此外，为了减少由非法分发专有图像所造成的损害量，需要用于在因特网上非法分发的图像的快速搜索技术。我们提出了一种两阶段的数字水印图像搜索方法。在本文中，我们提出了一种新的高效的预搜索算法的专有图像，被怀疑被复制和分发在互联网上。该算法主要利用卷积自动编码器压缩后的原始图像和目标图像之间的相关系数，能够快速识别大图像组中的非法拷贝。所提出的搜索方法对缩放、图像压缩、颜色减少和强度转换等攻击具有容忍度。所提出的搜索算法的性能进行评估，通过计算机模拟。
Digital watermarking is the main method by which prevent illegal copying of proprietary images. In addition, to reduce the amount of damage caused by illegal distribution of proprietary images, a fast search technique for illegally distributed images on the Internet is necessary. We have proposed a two-stage search method for digital watermarked images. In the present paper, we propose a new high-efficiency pre-search algorithm for proprietary images that are suspected of being copied and distributed on the Internet. The proposed algorithm is capable of quickly identifying illegal copies from large image groups using mainly the correlation coefficient of compressed representations between the original image and a target image by convolutional autoencoder. The proposed search method has tolerance for attacks such as scaling, image compression, color reduction, and intensity conversion. The performance of the proposed search algorithm is evaluated through computer simulations.