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A statistical watermark detection technique without using original images for resolving rightful ownerships of digital images

机译:一种不使用原始图像来解决数字图像合法所有权的统计水印检测技术

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Digital watermarking has been proposed as the means for copyright protection of multimedia data. Many of existing watermarking schemes focused on the robust means to mark an image invisibly without really addressing the ends of these schemes. This paper first discusses some scenarios in which many current watermarking schemes fail to resolve the rightful ownership of an image. The key problems are then identified, and some crucial requirements for a valid invisible watermark detection are discussed. In particular, we show that, for the particular application of resolving rightful ownership using invisible watermarks, it might be crucial to require that the original image not be directly involved in the watermark detection process. A general framework for validly detecting the invisible watermarks is then proposed. Some requirements on the claimed signature/watermarks to be used for detection are discussed to prevent the existence of any counterfeit scheme. The optimal detection strategy within the framework is derived. We show the effectiveness of this technique based on some visual-model-based watermark encoding schemes.
机译:已经提出了数字水印作为多媒体数据的版权保护的手段。现有的许多水印方案都集中在一种健壮的手段上,以不可见地标记这些方案的目的而看不见地标记图像。本文首先讨论了一些场景,其中许多当前的水印方案都无法解决图像的合法所有权。然后确定了关键问题,并讨论了有效的隐形水印检测的一些关键要求。特别是,我们表明,对于使用不可见水印解决合法所有权的特定应用,要求原始图像不直接参与水印检测过程可能至关重要。然后提出了有效检测不可见水印的通用框架。讨论了要用于检测的要求保护的签名/水印的一些要求,以防止存在任何伪造方案。得出框架内的最佳检测策略。我们基于一些基于视觉模型的水印编码方案展示了该技术的有效性。

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