反射式SIFT改进对复制-移动图像伪造的检测

2016 Second International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN) Pub Date : 2016-09-01 DOI:10.1109/ICRCICN.2016.7813636

Vanita Agarwal, V. Mane

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引用次数: 15

摘要

由于技术的进步，数字图像正在失去真实性。因此，提出了不同的检测技术。他们检查图像的真实性。我们需要解决图像伪造问题。图像可以缩放、旋转和翻转(镜像反射)。SIFT (Scale invariant feature transform，尺度不变特征变换)主要用于图像匹配。但它不适用于翻转图像。提出了一种框架——镜像反射不变特征变换(MIFT)。在这里，我们将学习MIFT如何即兴创作SIFT。在MICC-F2000和CASIA V2.0等多种数据库上进行了性能评估。

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Reflective SIFT for improving the detection of copy-move image forgery

Due to technology advancement the digital images are losing authenticity. Because of this different detection techniques are put forward. They check for the Genuinity of the images. We need to take care of image forgery. The images can be scaled, rotated, and flipped (mirror reflected). SIFT (Scale invariant feature transform) is mostly used to match images. But it fails for flipped images. A framework, mirror-reflection invariant feature transform (MIFT) is presented. Here, we will learn how MIFT improvise SIFT. The performance evaluation is demonstrated on various databases such as MICC-F2000 and CASIA V2.0.

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2016 Second International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN)

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