一种新的基于内容感知图像大小调整的水印攻击

A. Taherinia, M. Jamzad
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引用次数: 7

摘要

本文提出了一种利用图像大小调整技术破坏和破坏鲁棒不可见水印的新方法——缝雕。该方法能够以内容感知的方式调整水印图像的大小,从而破坏了水印系统中嵌入器和提取器的同步,使水印检测变得不可能。与现有的Stirmark等基准算法相比,该算法不会严重降低水印图像的质量。从而保持了水印图像的商业价值。我们已经测试了所提出的方法来攻击3种最新的鲁棒水印方法,结果令人印象深刻。应用此攻击后提取的所有水印的NC低于预定义的阈值0.4,因此无法检测到。该方法是一种不考虑底层水印算法知识的通用攻击方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new watermarking attack based on content-aware image resizing
In this paper, we propose a new method for damaging and destroying robust invisible watermarks using an image resizing technique which is named seam carving. By using this method we are able to resize watermarked images in a content-aware manner so that the synchronization of the embedder and extractor of watermarking system is broken and the watermark detection becomes impossible. In contrast to the available benchmarks like Stirmark, proposed attack does not severely reduce the quality of the watermarked image. Therefore it maintains the commercial value of the watermarked image. We have tested the proposed method to attack 3 recent and robust watermarking methods and the results sound impressive. The NC for all extracted watermarks after applying this attack is lowers than predefined threshold 0.4, so they are not detectable. The proposed method is a generic attack which does not consider any knowledge about the underlying watermarking algorithm.
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