基于阿诺德变换和提升的数字图像水印技术

Pritom Adhikary, A. Phadikar, Himadri S. Mandal, Prasannita Singh
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引用次数: 1

摘要

本文提出了一种基于阿诺德变换的数字图像水印方案。为此,通过提升小波变换将置乱后的二值图像嵌入到主图像的系数中。然后应用小波反变换得到水印图像。我们将水印应用于变换域,而不是空间域。这是因为在空间域中,覆盖图像的像素被直接操纵,而在变换域中,像素的系数在应用不同的变换技术后被修改,最终增加了方案的不可感知性。此外,目前大多数图像都采用小波域压缩技术,如jpeg2000。该算法的另一个重要特点是采用了阿诺德置乱技术,提高了方案的安全性。攻击者很难提取原始水印,也很难检索到封面图像。在大量的标准灰度(512×512)基准图像上对所提出的数字水印系统进行了测试,以提供良好的隐蔽性和鲁棒性。在我们的案例中,我们看到,所提出的技术在解码前和解码后的峰值信噪比(PSNR)和结构相似指数(SSI)的平均值分别为49.93、0.97、51.72和0.976721。实验结果表明,该方案对不同类型的攻击具有较强的鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Digital Image Watermarking Technique Using Arnold Transform and Lifting
In this paper, we propose a digital image watermarking scheme using Arnold transform. To implement this, a scrambled binary image is embedded into the coefficient of host images via Lifting wavelet transform. Then inverse wavelet transform is applied to get the watermarked image. We have applied to watermark in the transform domain instead of the spatial domain. This is since in a spatial domain the pixels of the cover image is directly manipulated, in contrast with transform domain where the coefficient of pixels is modified after applying different transformation technique that ultimately increases imperceptibility of the scheme. Moreover, nowadays most of the images are compressed in wavelet domain like JPEG 2000. Another important feature of the proposed algorithm is the Arnold scrambling technique which increases the security of the scheme. It is difficult for the attacker to derive the original watermark as well as retrieve the cover image. The proposed digital watermarking system is tested over a large number of standard grayscale (512×512) benchmark images to provide good imperceptibility and robustness. In our case, we have seen that the proposed technique offers the average value of peak signal-to-noise ratio (PSNR), Structural Similarity Index (SSI) before decoding and after decoding are 49.93, 0.97, 51.72 and 0.976721 respectively. The experimental results show that the proposed scheme is robust against different types of attacks.
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