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Quantization Based Blind Watermarking Algorithm Using DWT

机译:基于小波变换的基于量化的盲水印算法

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In this paper a Discrete Wavelet Transform based blind watermarking algorithm is proposed for embedding a grayscale watermark into a grayscale image. A new approach of choosing the watermark pixels pseudo-randomly for embedding in the mid-frequency region of the source image is proposed. A pseudo random generator, which exploits the randomness of the universal constant n, has been used. This algorithm makes use of the concept of thresholding based on the standard deviation of the subblocks in the mid-frequency region. The experimental results confirm the robustness of the watermark against noise and commonly used image-processing operations like cropping and JPEG2000 lossy compression. A novel blind watermarking technique and an efficient pseudorandom generator are major contributions of this paper.
机译:提出了一种基于离散小波变换的盲水印算法,将灰度水印嵌入到灰度图像中。提出了一种伪随机地选择水印像素嵌入到源图像的中频区域的新方法。使用了利用通用常数n的随机性的伪随机发生器。该算法利用基于中频区域中子块的标准偏差的阈值化概念。实验结果证实了水印对噪声的鲁棒性以及常用的图像处理操作,如裁剪和JPEG2000有损压缩。新颖的盲水印技术和有效的伪随机生成器是本文的主要贡献。

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