基于DWT和SVD的混沌数字图像水印方案

G. Çetinel, L. Cerkezi
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引用次数: 3

摘要

本文提出了一种基于混沌的数字水印方案,并结合离散小波变换和奇异值分解。在本文提出的水印方案中,采用一种常用的频域变换:DWT将覆盖图像分解为子带(LL、LH、HL和HH)。然后,将奇异值分解直接应用于分解后的覆盖图像的所有子带。用阿诺德猫图(ACM)对水印进行洗牌,生成混沌水印。提高了方案的鲁棒性和感知不可见性。为了评估该方案的鲁棒性,对该方案进行了图像处理和几何攻击。采用归一化相关(NC)和峰值信噪比(PSNR)度量来显示所提方法在鲁棒性和感知不可见性方面的性能。该算法取得了良好的效果,满足了安全要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Chaotic digital image watermarking scheme based on DWT and SVD
In this study chaos based digital watermarking scheme together with Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD) is proposed. In the proposed watermarking scheme, the cover image is decomposed to its sub-bands (LL, LH, HL and HH) by a common used frequency domain transform: DWT. Then, the SVD is directly applied to the all sub-bands of the decomposed cover image. The watermark is shuffled with Arnold's Cat Map (ACM) to generate a chaotic watermark. By this way, the robustness and perceptual invisibility of the scheme is improved. In order to evaluate the robustness of the proposed scheme, several image processing and geometric attacks are applied to the scheme. The Normalized correlation (NC) and peak signal-to-noise ratio (PSNR) measures are used to show the performance of the proposed method in terms of robustness and perceptual invisibility. The proposed algorithm gives the promising results and meets the security requirements.
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