TL;DR: A stochastic formulation of watermarking attacks using an estimation-based concept and a new method of evaluating image quality based on the Watson metric which overcomes the limitations of the PSNR are proposed.
TL;DR: In this article, the authors proposed an attack based on an estimation of the embedded watermark in the spatial domain through a filtering process, and the estimate of the watermark is then adapted and inserted into the target image.
Abstract: Research in digital watermarking has progressed along two paths. While new watermarking technologies are being developed, some researchers are also investigating different ways of attacking digital watermarks. Common attacks to watermarks usually aim to destroy the embedded watermark or to impair its detection. In this paper we propose a conceptually new attack for digitally watermarked images. The proposed attack does not destroy an embedded watermark, but copies it from one image to a different image. Although this new attack does not destroy a watermark or impair its detection, it creates new challenges, especially when watermarks are used for copyright protection and identification. The process of copying the watermark requires neither algorithmic knowledge of the watermarking technology nor the watermarking key. The attack is based on an estimation of the embedded watermark in the spatial domain through a filtering process. The estimate of the watermark is then adapted and inserted into the target image. To illustrate the performance of the proposed attack we applied it to commercial and non-commercial watermarking schemes. The experiments showed that the attack is very effective in copying a watermark from one image to a different image. In addition, we have a closer look at application dependent implications of this new attack.
TL;DR: In this article, the authors proposed an attack based on an estimation of the embedded watermark in the spatial domain through a filtering process, and the estimate of the watermark is then adapted and inserted into the target image.
Abstract: Research in digital watermarking has progressed along two paths. While new watermarking technologies are being developed, some researchers are also investigating different ways of attacking digital watermarks. Common attacks to watermarks usually aim to destroy the embedded watermark or to impair its detection. In this paper we propose a conceptually new attack for digitally watermarked images. The proposed attack does not destroy an embedded watermark, but copies it from one image to a different image. Although this new attack does not destroy a watermark or impair its detection, it creates new challenges, especially when watermarks are used for copyright protection and identification. The process of copying the watermark requires neither algorithmic knowledge of the watermarking technology nor the watermarking key. The attack is based on an estimation of the embedded watermark in the spatial domain through a filtering process. The estimate of the watermark is then adapted and inserted into the target image. To illustrate the performance of the proposed attack we applied it to commercial and non-commercial watermarking schemes. The experiments showed that the attack is very effective in copying a watermark from one image to a different image. In addition, we have a closer look at application dependent implications of this new attack.
TL;DR: This paper proposes a hybrid watermarking method joining a robust and a fragile or semi-fragile watermark, and thus combining copyright protection and tamper proofing, and demonstrates the superior performance of the proposed approach.
TL;DR: The conclusion that can be made from this study is that planting a sensor fingerprint in an image without leaving a trace is significantly more difficult than previously thought.
Abstract: Due to a production error, the above titled paper (ibid., vol. 6, no. 1, pp. 227-236, Mar. 11), was published as a correspondence in the March 2011 issue of IEEE Transactions on Information Forensics and Security. This paper was actually accepted as a Regular Paper and should have been published as such.