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A Robust Image Watermarking Through Bi-empirical Mode Decomposition and Discrete Wavelet Domain

机译:通过双经验模式分解和离散小波域的一种鲁棒图像水印

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This paper presents a watermarking technique using combination of discrete wavelet transform (DWT) and bi-dimensional empirical mode decomposition (BEMD) for the ownership authentication. The method uses DWT and BEMD to imperceptibly hide watermark in to original data. Research established that BEMD is combined with the watermarking technique to provide much better visual quality than other decomposition techniques. The BEMD distinguish the image from the least fragile frequency bands to the most robust frequency bands. Experimental result shows that the value of peak-signal to noise ratio (PSNR) is greater than 40 dB without any attacks and robust for different attacks. Further, the performance comparison with other competing approaches shows that our scheme is found superior results for different attacks.
机译:本文介绍了使用离散小波变换(DWT)和双维经验模式分解(BEMD)的组合进行了水印技术,用于所有权认证。该方法使用DWT和BEMD来不知不觉地将水印隐藏到原始数据。研究确定,BEMD与水印技术相结合,提供比其他分解技术更好的视觉质量。 BEMD将图像与最不易碎的频段到最强大的频带区分开来。实验结果表明,峰值信号对噪声比(PSNR)的值大于40dB,没有任何攻击和对不同攻击的鲁棒。此外,与其他竞争方法的性能比较表明,我们的方案对于不同的攻击,我们的方案得到了卓越的结果。

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