基于粒子群优化的DWT-DCT-SVD数字图像水印方案

R. V. Sivavenkateswara, R. S. Shekhawat, V. K. Srivastava
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引用次数: 26

摘要

提出了一种基于奇异值分解(SVD)和粒子群优化(PSO)的数字图像混合水印方案。水印方案的两个关键方面是版权保护和鲁棒性。在此方法中,我们将水印的主成分嵌入到主图像的DWT子带的DCT域中,以提供版权保护和可靠性。由于比例因子与图像相关,所以我们以矩阵的形式提供它。利用粒子群算法寻找合适的比例因子,以保证方案的鲁棒性和保真度。实验结果表明,该方案能够抵御各种图像处理攻击,并且具有不可感知性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A DWT-DCT-SVD based digital image watermarking scheme using particle swarm optimization
In this paper, we propose a hybrid watermarking scheme for digital images based on singular value decomposition (SVD) and particle swarm optimization (PSO). The two key aspects of watermarking schemes are copyright protected and robustness. In this, we are embedded the principal components of the watermark in the DCT domain of DWT subband of host image, for providing copyright protection as well as reliability. Since Scaling factor is an image dependent so we are providing it in the form of a matrix. PSO is used for finding suitable scaling factors such that to provide efficient robustness and fidelity of the scheme. Experimental results are provided to illustrate that the proposed scheme is able to withstand a variety of image processing attacks as well as imperceptibility.
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