Improved Geometric Warping-Based Watermarking

Dima Pröfrock, M. Schlauweg, E. Müller
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引用次数: 1

Abstract

In this paper, we propose a blind geometric warping-based watermarking for images and videos. We put emphasis on high robustness and security as well as decreased complexity. Our previous works have shown that the geometric structure of images and videos is a suitable embedding domain for watermark information. To describe the geometric structure, detection or segmentation methods are used, which can result in additional security holes, in more required computing effort, in loss of robustness and in loss of watermark blindness. In this work, we propose a watermarking approach that doesn¿t use detection and segmentation processes. Our watermark approach is based on the result of a filtering that is used to describe the geometric structure. Additionally, an efficient realisation of the filter is developed and a scheme of watermark embedding is proposed. The watermark bits are spreaded over the whole frame and coded in the spatial positions of edges and corners. We show that the resulting watermark can be embedded without visible quality degradations. Beside of this, it achieves high robustness to strong lossy compression and other distortions at a high watermark capacity.For example, a H.264/AVC compression that degrades the video quality down to PSNR of 20.6 dB induces a watermark Bit Error Rate of 0.0013 at a watermark capacity of 20 bits per frame.
改进的几何翘曲水印
本文提出了一种基于几何翘曲的图像和视频盲水印算法。我们强调高稳健性和安全性以及降低复杂性。我们之前的研究表明,图像和视频的几何结构是水印信息的合适嵌入域。为了描述几何结构,使用检测或分割方法,这可能会导致额外的安全漏洞,需要更多的计算量,失去鲁棒性和水印盲性。在这项工作中,我们提出了一种不使用检测和分割过程的水印方法。我们的水印方法是基于用来描述几何结构的滤波结果。此外,本文还开发了一种高效的滤波器实现方法,并提出了一种水印嵌入方案。水印位分布在整个帧中,并在边缘和角的空间位置进行编码。我们证明了所得到的水印可以嵌入而不会出现明显的质量下降。此外,在高水印容量下,对强有损压缩和其他失真具有较高的鲁棒性。例如,H.264/AVC压缩将视频质量降低到PSNR为20.6 dB,在水印容量为每帧20比特的情况下,水印误码率为0.0013。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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