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A secure and robust block based DWT-SVD image watermarking approach

机译:基于安全和鲁棒的块的DWT-SVD图像水印方法

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摘要

Now days, the protection of digital data in multimedia communication, in the form of image, text, video and audio has become an important problem because it can be copied and modified easily. Therefore, with the rapid development of the network multimedia systems, content authenticationand copyright protection have become challenging issues. In the past couple of years, a lot of techniques have been proposed to address these issues and digital watermarking technique is one of them. This technique hides a piece of media/information in an original image and this hidden media is used for the purpose of authentication and copyright protection. This study presents a robust image watermarking pattern for hiding watermark into RGB colour component. The Proposed method is based on combined approach of discrete wavelet transform (DWT) and singular value decomposition (SVD), and the quick response code (QR Code) is taken as a watermark image. The original image is divided into horizontally and vertically low and high frequency band using DWT. Moreover, we used second level DWT on low frequency band and the corresponding frequency band is divided into m*n block size. Then we find red, green and blue component of each block and apply SVD on each RGB component of a block to find the singular values for the watermarking. The Experimental results show that the proposed algorithm provides more security and data authentication compare to other existing image data security approaches.
机译:如今,以图像,文本,视频和音频的形式保护多媒体通信中的数字数据已经成为一个重要的问题,因为它可以轻松地进行复制和修改。因此,随着网络多媒体系统的迅速发展,内容认证和版权保护已成为具有挑战性的问题。在过去的几年中,已经提出了许多技术来解决这些问题,数字水印技术就是其中之一。该技术将媒体/信息隐藏在原始图像中,并且该隐藏媒体用于身份验证和版权保护的目的。这项研究提出了一种鲁棒的图像水印图案,用于将水印隐藏为RGB颜色分量。该方法基于离散小波变换(DWT)和奇异值分解(SVD)的结合方法,并以快速响应码(QR Code)作为水印图像。使用DWT将原始图像分为水平和垂直低频段和高频段。此外,我们在低频段上使用了第二级DWT,并将相应的频段划分为m * n个块大小。然后,我们找到每个块的红色,绿色和蓝色分量,并将SVD应用于块的每个RGB分量,以找到用于水印的奇异值。实验结果表明,与现有的其他图像数据安全方法相比,该算法具有更高的安全性和数据认证能力。

著录项

  • 来源
    《Journal of Information & Optimization Sciences》 |2017年第6期|911-925|共15页
  • 作者单位

    Department of Computer Applications National Institute of Technology, Jamshedpur jamshedpur 831014 Jharkhand India;

    Department of Computer Applications National Institute of Technology, Jamshedpur jamshedpur 831014 Jharkhand India;

    Department of Computer Applications National Institute of Technology, Jamshedpur jamshedpur 831014 Jharkhand India;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    QR code; DWT; SVD; PSNR; SNR;

    机译:二维码;载重吨;SVD;PSNR;信噪比;

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