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A hybrid intelligent SVD-based perceptual shaping of a digital image watermark in DCT and DWT domain

机译:基于混合智能SVD的DCT和DWT域中数字图像水印的感知成形

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摘要

In this paper, an intelligent hybrid watermarking algorithm for digital images has been proposed. In digital image watermarking, robustness and imperceptibility compete with each other. In this research, we applied a DCT-DWT-SVD-based intelligent algorithm to make a trade off between these two functions. The algorithm initially transforms the original image into DCT domain and then it decomposes a part of DCT matrix into four sub-bands using discrete wavelet transform, then the singular values of each sub-band are shaped perceptually by singular values of watermark image to embed the watermark. In order to achieve the best performance in robustness without losing the quality of host image, the optimisation problem which is related to a conflict between robustness and imperceptibility is solved by means of genetic programming and particle swarm optimisation simultaneously. Experimental results show improvement in imperceptibility and robustness under several attacks and different images.
机译:本文提出了一种用于数字图像的智能混合水印算法。在数字图像水印中,鲁棒性和不可感知性相互竞争。在这项研究中,我们应用了基于DCT-DWT-SVD的智能算法在这两个功能之间做出权衡。该算法首先将原始图像转换为DCT域,然后使用离散小波变换将DCT矩阵的一部分分解为四个子带,然后通过水印图像的奇异值在感知上塑造每个子带的奇异值以嵌入水印。为了在鲁棒性方面获得最佳性能而又不丢失宿主图像的质量,同时通过遗传编程和粒子群优化方法解决了与鲁棒性和不可感知性之间的冲突有关的优化问题。实验结果表明,在几种攻击和不同图像下,感知力和鲁棒性得到了改善。

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