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Digital image Watermark embedding and extraction using oppositional fruit Fly algorithm

机译:基于果蝇反演算法的数字图像水印嵌入与提取

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摘要

The proposed method discusses digital image watermark embedding and extraction utilizing discrete wavelet transform and singular value decomposition (DWT-SVD) as well as oppositional fruit fly algorithm. Initially, for partitioning the original input image into several sub-bands DWT-SVD is utilized. After decomposition variance value is calculated for all sub bands and the band with low variance is selected for further process. Then Oppositional Fruit Fly Algorithm (OFA) is used for optimal position selection of selected low variance blocks for embedding the watermark bits. In order to perform the embedding process at first, the conversion of watermark image into its corresponding bits occurs. Then the generated watermark bit is added together with gold code and the combination is utilized for performing watermark embedding. The method used for retrieving the watermarked image from the original image is called watermark extraction. The performance of the proposed image watermarking scheme is analyzed through various metrics such as the Mean square error (MSE), Normalize correlation (NC) and the peak signal to noise ratio (PSNR). The proposed scheme maintains the embedding quality with an average PSNR value of 47.49 dB.
机译:该方法讨论了利用离散小波变换和奇异值分解(DWT-SVD)以及对立果蝇算法进行数字图像水印的嵌入和提取。最初,为了将原始输入图像划分为几个子带,使用了DWT-SVD。在为所有子频带计算分解方差值之后,选择具有低方差的频带以进行进一步处理。然后,将对立果蝇算法(OFA)用于选定的低方差块的最佳位置选择,以嵌入水印位。为了首先执行嵌入处理,发生水印图像到其相应位的转换。然后,将生成的水印位与黄金代码相加,并利用该组合进行水印嵌入。用于从原始图像中检索水印图像的方法称为水印提取。通过各种指标(例如均方误差(MSE),归一化相关性(NC)和峰值信噪比(PSNR))分析了提出的图像水印方案的性能。提出的方案以平均PSNR值为47.49 dB保持嵌入质量。

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