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A Robust Fractal Color Image Watermarking Algorithm

机译:一种鲁棒的分形彩色图像水印算法

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One of the main objectives of watermarking is to achieve a better tradeoff between robustness and high visual quality of a host image. In recent years, there has been a significant development in gray-level image watermarking using fractal-based method. This paper presents a human visual system (HVS) based fractal watermarking method for color images. In the proposed method, a color pixel is considered as a 3-D vector inRGBspace. And a general form of 3 × 3 matrix is utilized as the scaling operator. Meanwhile, the luminance offset vector is substituted by the range block mean vector. Then an orthogonalization fractal color coding method is achieved to obtain very high image quality. We also show that the orthogonalization fractal color decoding is a mean vector-invariant iteration. So, the range block mean vector is a good place for hiding watermark. Furthermore, for consistency with the characteristics of the HVS, we carry out the embedding process in theCIE La*b*space and incorporate a just noticeable difference (JND) profile to ensure the watermark invisibility. Experimental results show that the proposed method has good robustness against various typical attacks, at the same time, with an imperceptible change in image quality.
机译:加水印的主要目的之一是在鲁棒性和宿主图像的高视觉质量之间取得更好的平衡。近年来,使用基于分形的方法进行的灰度级图像水印技术有了重大发展。本文提出了一种基于人类视觉系统(HVS)的彩色图像分形水印方法。在提出的方法中,将彩色像素视为RGB空间中的3-D向量。 3×3矩阵的一般形式用作缩放算子。同时,亮度偏移向量被范围块均值向量替代。然后实现正交分形颜色编码方法以获得非常高的图像质量。我们还表明,正交分形颜色解码是平均向量不变迭代。因此,范围块均值向量是隐藏水印的好地方。此外,为了与HVS的特性保持一致,我们在CIE La * b *空间中进行了嵌入过程,并加入了一个明显的差异(JND)轮廓以确保水印不可见。实验结果表明,该方法具有良好的鲁棒性,可以抵抗各种典型的攻击,同时图像质量变化不明显。

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