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M-SIFT: A detection algorithm for copy move image forgery

机译:M-SIFT:复制运动图像伪造的检测算法

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摘要

Forgery is not a new concept but from the very start it has been there whether it is in documents, images, art, or literary etc. Threats against digital images has increased to that extent that they require serious attention. Copy move forgery being the most dangerous one, is affecting world of digital images as this is hardest to detect. We first discuss and demonstrate image forgery types, discuss detection methods and their shortcomings, and then discuss the idea of using Keypoint based method M-SIFT which is an improved version of SIFT. Additionally, we provide implementation and performance analysis of suggested algorithm.
机译:伪造不是一个新概念,但是从一开始它就一直存在,无论是在文件,图像,艺术品还是在文学等方面。对数字图像的威胁已经增加到需要认真注意的程度。复制伪造是最危险的伪造,正在影响数字图像的世界,因为这是最难发现的。我们首先讨论和演示图像伪造类型,讨论检测方法及其缺点,然后讨论使用基于Keypoint的方法M-SIFT的想法,该方法是SIFT的改进版本。此外,我们提供了建议算法的实现和性能分析。

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