A new scheme of robust image watermarking: the double watermarking algorithm

C. Chemak, M. Bouhlel, J. Lapayre
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引用次数: 22

Abstract

This paper is an attempt to describe the concept of double watermarking. The latter term refers to a new watermarking algorithm based on embedding mark (signature) in both spatial and multi-resolution domain. For the purpose of increasing the image watermarking robustness against attacks of an image transmission, we encode with a turbo code an image-embedded mark. This new scheme of image watermarking is able to embed 2000 bits in medical images. Results of experiments carried out on a database of 30- 256x256 pixel-sized medical images show that watermarks are robust to Noises, Filter attacks, JPEG Compression and geometric distortion such as Cropping. Results demonstrate that fidelity can be improved by incorporating a codage that is shaped into the embedding process. Other advantages of the two embedding domains are to preserve intellectual features and to secure the mark in the image. The image degradation is measured by Relative Peak Signal to Noise Ratio (RPSNR). Experimental results show that this unit of measurement is the best distortion metric witch is correlated with Human Visual System (HVS); and therefore more suitable for digital watermarking.
一种新的鲁棒图像水印方案:双水印算法
本文试图描述双重水印的概念。后者是指在空间和多分辨率域同时嵌入标记(签名)的一种新的水印算法。为了提高图像水印对图像传输攻击的鲁棒性,采用turbo码对图像嵌入标记进行编码。该方案能够在医学图像中嵌入2000位的图像水印。在30 ~ 256x256像素的医学图像数据库上进行的实验结果表明,水印对噪声、滤波器攻击、JPEG压缩和裁剪等几何畸变具有较好的鲁棒性。结果表明,保真度可以通过纳入嵌入过程中形成的代码来提高。这两种嵌入域的其他优点是既保留了智能特征,又保证了图像中的标记。用相对峰值信噪比(RPSNR)测量图像的退化程度。实验结果表明,该度量单位是与人类视觉系统(HVS)相关的最佳失真度量单位;因此更适合于数字水印。
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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