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Robust and dynamic image zero watermarking using hessian laplace detector and logistic map

机译:使用粗麻布拉普拉斯探测器和逻辑映射的鲁棒动态图像零水印

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In this digital world due to rapid growth in image processing technology and internet, Piracy of the images is becoming more and more serious problem. In order to prohibit such piracy, watermarking is widely used approach. In conventional watermarking, watermark is inserted in host image by modifying its original information. This approach creates a trade-off between robustness and imperceptibility. To overcome this, zero watermarking is used. In this process instead of embedding watermark, it is created using host image and original watermark of ownership identification. Zero Watermarking does not alter original information of the image and provides perfect imperceptibility. In this paper we are proposing a robust and dynamic zero watermarking using Hessian Laplace Detector and Logistic map. Here, Feature points of host image are detected using Hessian Laplace detector and used along with original watermark of ownership identity for constructing zero-watermark. Finally constructed zero-watermark is scrambled using Logistic map to improve its security before storing it into database. Our dynamic approach lets original watermark size to be solely decided by total number of detected feature points and all pixels of original watermark to be used for creating zero-watermark. We have compared our algorithm with previous work and got better reconstruction of original watermark under noise, filtering, compression, translation and cropping attacks.
机译:在这个数字世界中,由于图像处理技术和互联网的快速增长,图像盗版问题变得越来越严重。为了禁止这种盗版,加水印被广泛使用。在常规的水印中,通过修改水印的原始信息将水印插入到主机图像中。这种方法会在健壮性和不可感知性之间做出权衡。为了克服这个问题,使用了零水印。在此过程中,不是嵌入水印,而是使用主机图像和所有权标识的原始水印创建水印。零水印不会改变图像的原始信息,并且提供了完美的隐蔽性。在本文中,我们提出了一种使用Hessian Laplace Detector和Logistic映射的健壮且动态的零水印技术。在此,使用Hessian Laplace检测器检测宿主图像的特征点,并将其与所有权身份的原始水印一起用于构建零水印。最终构造的零水印使用Logistic映射进行加密,以提高其安全性,然后再将其存储到数据库中。我们的动态方法使原始水印大小仅由检测到的特征点总数和原始水印的所有像素(用于创建零水印)决定。我们将我们的算法与以前的工作进行了比较,并在噪声,滤波,压缩,转换和裁剪攻击下获得了更好的原始水印重构。

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