Optimization of Watermarking in Image by Using Particle Swarm Optimization Algorithm

Neha Yadav, D. Rajpoot, S. Dhakad
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引用次数: 2

Abstract

The current digital era is trending with a secure and advances optimized watermarking schemes for digital images. For optimization of the result that has been obtained by applying the DCT-DWT on the original image is being accomplished by Particle Swarm Optimization (PSO). In this paper, the watermark is inserted in the DWT-DCT coefficients, where the value of the coefficients is larger than some specific value. The embedding of the watermark is in the region with low-frequency coefficients. This paper mainly focuses on DCT-DWT but SVD is also tried on the image watermarking. The PSO is first compared with proposed modified inertia weight-based PSO on standard test function and its effectiveness is proposed. Later, to check the undetectability and to gain the optimized result modified PSO is applied in the image watermarking process. It is also checked that it is robust or not by applying some attacks on the image. Simulation results show that there is a marginal difference between the original and watermarked image. The Optimization technique is successfully implemented to achieve an optimal watermarking solution.
基于粒子群算法的图像水印优化
当前的数字时代是一个安全和先进的数字图像优化水印方案的趋势。利用粒子群算法(Particle Swarm optimization, PSO)对原图像进行DCT-DWT处理后得到的结果进行优化。在本文中,水印被插入到DWT-DCT系数中,其中系数的值大于某个特定值。水印的嵌入是在低频系数区域。本文主要对DCT-DWT算法进行了研究,同时也对SVD算法进行了尝试。首先将该粒子群算法与改进的基于惯性权重的粒子群算法在标准测试函数上进行了比较,验证了其有效性。然后,将改进粒子群算法应用于图像水印过程中,以检验图像的不可检测性并获得优化结果。还通过对图像应用一些攻击来检查它的鲁棒性。仿真结果表明,原始图像与加水印图像之间存在边际差异。成功地实现了优化技术,实现了最优的水印解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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