基于遗传算法和离散小波变换残差数的图像水印新方案

Peter Awonnatemi Agbedemnab, Mohammed Akolgo, Moses Apambila Agebure
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引用次数: 0

摘要

由于技术的进步,互联网上的数据传输已经成为一个关键问题,因为盗版有可能窃取内容所有者的知识产权。本文提出了一种新的数字水印方案,该方案结合遗传算法(GA)和剩余数系统(RNS)的一些算子对图像进行加密,并嵌入到封面图像中进行水印。因此,图像水印方案使用加密的图像。将秘密图像嵌入到经过三阶离散小波变换(DWT)得到的封面图像的分解帧中。这是为了确保即使对掩护信息进行了成功的攻击,也不会暴露秘密信息。内容创造者可以通过在法庭上公开秘密信息来证明多媒体内容的所有权。使用MATLAB2022对该方案进行了样本数据测试,仿真结果表明,与现有类似方案相比,该方案具有很强的不可感知性和鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A New Image Watermarking Scheme Using Genetic Algorithm and Residual Numbers with Discrete Wavelet Transform
Transmission of data over the internet has become a critical issue as a result of the advancement in technology, since it is possible for pirates to steal the intellectual property of content owners. This paper presents a new digital watermarking scheme that combines some operators of the Genetic Algorithm (GA) and the Residue Number (RN) System (RNS) to perform encryption on an image, which is embedded into a cover image for the purposes of watermarking. Thus, an image watermarking scheme uses an encrypted image. The secret image is embedded in decomposed frames of the cover image achieved by applying a three-level Discrete Wavelet Transform (DWT). This is to ensure that the secret information is not exposed even when there is a successful attack on the cover information. Content creators can prove ownership of the multimedia content by unveiling the secret information in a court of law. The proposed scheme was tested with sample data using MATLAB2022 and the results of the simulation show a great deal of imperceptibility and robustness as compared to similar existing schemes.
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