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Approximate Image Authentication and Correction using Spatial and Frequency Domain Features

机译:使用空间和频域功能的近似图像认证和校正

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Images traversing from source to sink can undergo intentional and unintentional modifications. An image authentication scheme is presented in this paper which is capable of detecting modifications in the image, locating their positions and correcting some or all of them. It is also able to tolerate minor unintentional modifications. However, intentional forgeries are detected by the proposed scheme. The idea is to build a watermark using local frequency domain image features and protecting them with Reed Solomon codes. This helps in the localization of modifications and their correction to the extent possible with the used code. At the same time, the global image histogram features are protected using an approximate message authentication code. This provides tolerance in authentication in the presence of unintentional modifications such as channel noise, image transformation operations, compression etc. Security strength of the proposed image authentication scheme is analyzed in the paper. Simulation results in the presence of unintentional modifications show the noise tolerant authentication capability, whereas simulation results in the presence of intentional modifications demonstrate the forgery detection capability of the proposed scheme.
机译:从源到接收器遍历的图像可能会进行有意和无意的修改。本文提出了一种图像认证方案,该方案能够检测图像中的修改,定位它们的位置并校正其中的一些或全部。它也能够容忍轻微的无意修改。但是,拟议的方案发现了故意的伪造。这个想法是利用本地频域图像特征构建水印,并用里德·所罗门(Reed Solomon)码对其进行保护。这有助于在使用所使用的代码的情况下尽可能地进行修改的本地化和它们的校正。同时,使用近似消息身份验证代码来保护全局图像直方图特征。这在存在诸如信道噪声,图像变换操作,压缩等无意修改的情况下提供了认证容忍度。本文分析了所提出的图像认证方案的安全强度。在无意修改的情况下的仿真结果显示了耐噪声的身份验证能力,而在无意修改的情况下的仿真结果证明了所提出方案的伪造检测能力。

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