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An Image Watermark Insertion and Extraction Method Based on EDA-PSO

机译：基于EDA-PSO的图像水印插入和提取方法

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An innovative image watermark insertion and extraction method based on EDA-PSO is proposed to improve both the imperceptibility and robustness of the image watermark. The insertion and extraction of the watermark is performed in the discrete cosine transform domain (DCT). In the process, Watson perceptual model is first applied to find the optimal embedding position, then EDA-PSO is employed to adjust the strength of the embedded watermark and finally a new fitness value is defined as the evaluation criteria based on imperceptibility and robustness. This method embeds the watermark information of varying strengths into the low and middle frequency coefficients with the maximum visual perception threshold of each DCT block according to the different results of EDA-PSO. The simulation results proves that the proposed scheme ensures the imperceptibility of the watermark and achieves high robustness against such attacks as JPEG compaction, GLPF, addition Gaussian noise, addition impulse noise and addition product noise.
机译：提出了一种基于EDA-PSO的创新图像水印插入和提取方法，以改善图像水印的难忘和鲁棒性。在离散余弦变换域（DCT）中执行水印的插入和提取。在该过程中，首先应用Watson感知模型以找到最佳的嵌入位置，然后采用EDA-PSO来调节嵌入式水印的强度，最后将新的适应值定义为基于难以察觉和鲁棒性的评估标准。该方法根据EDA-PSO的不同结果，将不同强度的水印信息与每个DCT块的最大视觉感知阈值嵌入到低和中频系数中。仿真结果证明，该方案确保了水印的难以察觉，并实现了与JPEG压实，GLPF，加法高斯噪声，加入脉冲噪声和添加产品噪声的高稳健性。

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