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A Modified Whale Optimization Algorithm Based Digital Image Watermarking Approach

机译：基于修改的鲸鱼优化算法的基于数字图像水印方法

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摘要

This paper presents a novel digital image watermarking (DIW) scheme. This DIW scheme is based on a hybrid DWT-SVD transform domain and modified whale optimization algorithm (MWOA), making use of multiscale factors (MSFs) to control the trade-off between invisibility and robustness. The values of MSFs have been determined using MWOA, which is a nature-inspired optimization algorithm inspired by the bubble-net hunting strategy of humpback whales. The essential feature of modified WOA is that it provides a global solution and also requires less internal parameters for optimization. Normalized cross-correlation and peak signal to noise ratio are utilized in the objective function design. Results of simulations show that the proposed DIW scheme not only satisfies the need for invisibility but also has better or comparable robustness as compared to other recently published watermarking methods.
机译：本文提出了一种新型数字图像水印（DIW）方案。该DIW方案基于混合DWT-SVD变换域和修改鲸优化算法（MWOA），利用多尺度因子（MSF）来控制隐形和鲁棒性之间的权衡。使用MWOA确定了MSFS的值，该MWOA是由驼背鲸的泡沫狩猎策略启发的自然启发优化算法。修改WOA的基本特征是它提供了全局解决方案，并且还需要更少的内部参数进行优化。在目标函数设计中使用归一化的互相关和峰值信噪比。模拟结果表明，与最近公布的水印方法相比，所提出的DIW方案不仅满足了无形的需求，而且具有更好或更具可比的鲁棒性。

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