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A New Spatial Decomposition Scheme For Image Content-Based Watermarking

机译:基于图像内容的水印的新空间分解方案

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Image watermarking has today a growing success in the community of image processing. Many methods were already proposed making it possible to obtain increasingly more powerful algorithms. So, most of insertion schemes in the spatial domain are based on the decomposition of the image to blocs, with similar sizes, in order to insert a sequence of information bits. To reach good performances, content-based watermarking schemes aim to use feature points detectors to link the mark with the content of the image. Feature points are after used to perform a decomposition based on a Delaunay triangulation, using triangular tessellation. These methods use classical geometrical transforms that generally induce a loss of synchronization that prevents the detection of the mark, and the image may lose some of its properties. In the proposed scheme, feature points detection are used to decompose the image using a rectangular tessellation and the mark is embedded in each rectangle of the decomposition. The proposed watermarking method, performed in spatial domain, is based on the image content, aims to be simple and to improves mark detection in comparison with methods based on triangular decomposition.
机译:图像水印今天在图像处理社区中取得了成功。已经提出了许多方法使得可以获得越来越强大的算法。因此,空间域中的大多数插入方案都基于图像的分解到Blocs,具有相似的大小,以便插入信息比特序列。为了达到良好的表现,基于内容的水印计划旨在使用特征点检测器将标记与图像的内容链接。特征点在使用基于三角形曲线的基于Delaunay三角剖分的分解之后进行分解。这些方法使用经典的几何变换,通常诱导防止检测标记的同步的丢失,并且图像可能会丢失其一些属性。在所提出的方案中,特征点检测用于使用矩形曲折化物分解图像,并且标记嵌入在分解的每个矩形中。在空间域中进行的所提出的水印方法基于图像内容,旨在简单,并且与基于三角分解的方法相比,改善标记检测。

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