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Wavelet-based oblivious image watermarking scheme using genetic algorithm

机译:基于遗传算法的基于小波的遗忘图像水印方案

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摘要

In this work, a robust and oblivious imagewatermarking scheme based on discretewavelet transform(DWT) for copyright protection is presented. The original unmarked image is not required for watermark extraction. Third-level DWT is applied to the original cover image. Third- and second-level horizontal detail sub-band (LH2 and LH3) coefficients are grouped into different blocks. Grouping of the coefficients is done in such a way that each block should contain one coefficient from LH3 sub-band and four coefficients from LH2 sub-band. In each block, the first minimum and the second minimum are identified and modified according to the watermark bit. After watermark insertion, inverse DWT is applied to the sub-bands with modified coefficients to obtain the watermarked image. For watermark extraction, a threshold-based decoder is designed. Embedding and extraction process are characterised with parameters and genetic algorithm is used for parameter optimisation. Optimisation is to maximise the values of peak signal-to-noise ratio of the watermarked image and normalised cross correlation of the extracted watermark. The performance of the proposed scheme is compared with the existing schemes and significant improvement is observed. Experimental results show that, this algorithm is highly robust for many image attacks on the watermarked image.
机译:提出了一种基于离散小波变换(DWT)的鲁棒且不易察觉的图像水印方案,用于版权保护。水印提取不需要原始的未标记图像。第三级DWT应用于原始封面图像。第三级和第二级水平细节子带(LH2和LH3)系数分为不同的块。系数的分组是这样的,即每个块应包含一个来自LH3子带的系数和四个来自LH2子带的系数。在每个块中,根据水印位识别并修改第一最小值和第二最小值。在插入水印之后,将逆DWT应用于具有修改系数的子带,以获得水印图像。对于水印提取,设计了基于阈值的解码器。利用参数对嵌入和提取过程进行了表征,并采用遗传算法进行了参数优化。优化是使水印图像的峰值信噪比和提取水印的标准化互相关值最大化。将该方案的性能与现有方案进行了比较,并观察到了明显的改进。实验结果表明,该算法对水印图像的许多图像攻击具有很高的鲁棒性。

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