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Digital watermarking with improved SMS applied for QR code
Engineering Applications of Artificial Intelligence ( IF 8 ) Pub Date : 2020-11-24 , DOI: 10.1016/j.engappai.2020.104049
Jeng-Shyang Pan , Xiao-Xue Sun , Shu-Chuan Chu , Ajith Abraham , Bin Yan

With the rapid development of information technology, infringements have become increasingly serious. Digital watermarking is an effective method to protect information. The current watermarking technology still has room for further improvement in imperceptibility and robustness. This paper proposes an improved watermarking technology using meta-heuristic algorithm. Further, Quick Response code (QR code) is used as a carrier to transmit information. The improved Discrete Wavelet Transform-Singular Value Decomposition (DWT-SVD) is used to hide the watermark into the QR code. Therefore, digital watermarking is realized on the QR code. In the common watermark embedding methods, the digital watermark is related to the embedding strength. How to find a suitable embedding factor and reduce distortion is of great significance to these watermarking algorithms. This paper mainly proposes two novel algorithms based on States of Matter Search (SMS) algorithm to find suitable embedding factors. The first algorithm uses an adaptive parameter to control the movement of particles called the adaptive step States of Matter Search (sSMS). The second algorithm incorporates co-evolutionary matrix to enhance the search capability named Co-evolution States of Matter Search (CSMS). DWT-SVD is updated through two algorithms to acquire optimal embedding strength factors on the QR code watermarking. By adjusting the embedding strength factors, the intensity of the watermark embedded in different frequency domains would be modified. The experimental results have higher PSNR and the QR code can still be decoded by a general decoder. It shows that the proposed approaches are practicable and effective.



中文翻译:

带有改进的SMS的数字水印技术已应用于QR码

随着信息技术的飞速发展,侵权行为日益严重。数字水印是保护信息的有效方法。当前的水印技术在感知性和鲁棒性方面仍有进一步改进的空间。本文提出了一种改进的利用元启发式算法的水印技术。此外,快速响应码(QR码)用作传输信息的载体。改进的离散小波变换奇异值分解(DWT-SVD)用于将水印隐藏到QR码中。因此,在QR码上实现了数字水印。在常见的水印嵌入方法中,数字水印与嵌入强度有关。如何找到合适的嵌入因子并减少失真对这些水印算法具有重要意义。本文主要提出两种基于物质状态搜索(SMS)算法的新颖算法,以找到合适的嵌入因子。第一种算法使用自适应参数来控制粒子的运动,称为粒子搜索的自适应阶跃状态(sSMS)。第二种算法结合了协同进化矩阵来增强名为“物质搜索协同进化状态”(CSMS)的搜索能力。DWT-SVD通过两种算法进行更新,以获取QR码水印上的最佳嵌入强度因子。通过调整嵌入强度因子,可以修改嵌入在不同频域中的水印强度。实验结果具有较高的PSNR,QR码仍可以由通用解码器解码。它表明所提出的方法是可行和有效的。

更新日期:2020-11-25
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