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Fault tolerance in LWT-SVD based image watermarking systems using three module redundancy technique

机译:基于LWT-SVD的图像水印系统的容错使用三模块冗余技术

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摘要

Increasing the robustness, reliability and security of the digital image watermarking methods against image processing and geometrics attacks are a key issues especially for image copyright protection. Most of existing methods concentrate on increasing the robustness and/or security aspects. In this paper, a robust and reliable digital image watermarking method is proposed by combination of lifting wavelet transform and Singular Value Decomposition (SVD) along with Three Module Redundancy (TMR) technique. Also to increase the security of the proposed method, at first, the watermark image is encrypted using improved Arnold transform. Then, SVD is applied to the encrypted watermark image. Using the TMR technique, the singular values of the encrypted watermark image are embedded in three wavelet subbands of the host image using appropriate scaling factors. To obtain the balance between robustness and imperceptibility, scaling factor of each subband is determined by Artificial Bee Colony (ABC) algorithm. According to the evaluations, compared to existing works, the proposed method is robust, and also has a high imperceptibility. Also by employing TMR, as a fault tolerance mechanism, the proposed system is more reliable and can work properly in more situations compared to the state-of-the-art methods.
机译:增加数字图像水印方法的鲁棒性,可靠性和安全性对图像处理和地理攻击攻击是一个尤其是图像版权保护的关键问题。大多数现有方法集中在增加稳健性和/或安全方面。在本文中,通过提升小波变换和奇异值分解(SVD)的组合以及三个模块冗余(TMR)技术来提出了一种稳健和可靠的数字图像水印方法。同样为了提高所提出的方法的安全性,首先,使用改进的Arnold变换加密水印图像。然后,SVD应用于加密的水印图像。使用TMR技术,使用适当的缩放因子,加密水印图像的奇异值嵌入主机图像的三个小波子带中。为了获得鲁棒性与难以察觉之间的平衡,通过人造蜂菌落(ABC)算法确定每个子带的缩放因子。根据评估,与现有工程相比,所提出的方法是强大的,并且也具有很高的难以察觉。同样通过使用TMR,作为容错机制,所提出的系统更可靠,与最先进的方法相比,可以在更多情况下正常工作。

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