M-SIFT:一种复制移动图像伪造检测算法

2017 4th International Conference on Signal Processing, Computing and Control (ISPCC) Pub Date : 2017-09-01 DOI:10.1109/ISPCC.2017.8269716

Tarman, H. Saini

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引用次数: 3

摘要

伪造并不是一个新概念，但从一开始它就一直存在，无论是在文件、图像、艺术还是文学等方面。对数字图像的威胁已经增加到需要认真关注的程度。复制伪造是最危险的一种，它影响着数字图像的世界，因为这是最难检测的。首先讨论和论证了图像伪造的类型，讨论了检测方法及其不足，然后讨论了基于关键点的图像伪造方法M-SIFT的思想，这是SIFT的改进版本。此外，我们还提供了建议算法的实现和性能分析。

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

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.

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2017 4th International Conference on Signal Processing, Computing and Control (ISPCC)

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