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Improvement of Radon-Based Image Hashing Using Image Normalization

机译:使用图像归一化改进基于Radon的图像哈希

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Image Hashing has several applications such as image authentication, image indexing and broadcast monitoring. In the content authentication applications, the hash values of perceptually similar images generated by content preserving modification, such as compression and moderate geometric distortions, also must be similar. Taking this into account we propose an improvement of the Radon transformbased image hashing algorithms, introducing an image normalization algorithm in the preprocessing stage. In the proposed scheme, robustness against geometrical distortions is increased considerably, while keeping the robustness to other content preserving modifications, such as compression, and filtering, which are offered by Radon transform.
机译:图像散列具有多种应用程序,例如图像认证,图像索引和广播监视。在内容认证应用程序中,通过内容保留修改(例如压缩和中等几何变形)生成的感知相似图像的哈希值也必须相似。考虑到这一点,我们提出了一种基于Radon变换的图像哈希算法的改进,在预处理阶段引入了图像归一化算法。在提出的方案中,针对几何失真的鲁棒性大大提高,同时保持了对其他内容的鲁棒性,例如Radon变换所提供的保留修改(例如压缩和滤波)的内容。

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