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A Novel Robust Watermarking Algorithm Based on DWT and DCT

机译:基于DWT和DCT的鲁棒水印新算法。

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In this paper, a novel robust watermarking algorithm is presented in mixed transform domain. The original host image is first decomposed into four sub-bands by Discrete Wavelet Transform (DWT). Then approximate coefficients are relocated by Arnold transform to create a noise-like version and divided into non-overlapping 8×8 blocks. Each block is Zig-zag scanned and sorted in descending order before the DCT transform to obtain high robustness and transparency. A watermarking sequence encrypted by Arnold transformation with secret keys is afterwards embedded into the DCT transform coefficients according to JND (Just Noticeable Difference) model. The watermark is extracted without the original image. Experimental results indicate that the proposed strategy has a good robustness against common attacks, such as noise, filtering, JPEG compression.
机译:在混合变换域中,提出了一种新颖的鲁棒水印算法。首先通过离散小波变换(DWT)将原始主机图像分解为四个子带。然后,通过Arnold变换对近似系数进行重定位以创建类似噪声的版本,并将其划分为不重叠的8×8块。在DCT变换之前,对每个块进行Zig-zag扫描并以降序排序,以获得高鲁棒性和透明度。然后,根据JND(仅注意差异)模型,将使用秘密密钥通过Arnold变换加密的水印序列嵌入到DCT变换系数中。在没有原始图像的情况下提取水印。实验结果表明,所提出的策略对噪声,滤波,JPEG压缩等常见攻击具有良好的鲁棒性。

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