基于哈希函数的篡改图像检测与定位*

Arpan Gupta, Amit Kumar, Tarun Chaudhary, Alka Leekha
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引用次数: 1

摘要

在这个快速发展的世界里,对数字的依赖已经达到了很高的高度。随着它的广泛使用,揭示图像的虚假信息来满足可怕的意图的概念被称为图像伪造。复制或伪造图像的操作方式使得检测篡改区域可以是一项可耗尽的任务。本文精确地处理了图像结构的这种变化。它提供了一种哈希技术,正如最好的描述,它有助于检测和定位图像的篡改区域。对各种散列函数(如MD5和SHA-2)的比较,特别是,它的实现突出显示了图像的所需篡改区域,这是由滑动窗口方法促进的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Detection and Localization of Tampered Image using Hash Functions*
In this fast-developing world digital dependency has taken up great heights. With its immense usage comes the concept of revealing false information of an image to feed the dreadful intention which is called nothing but Image Forgery. The duplicated or forged image is operated in a way that detecting the tampered regions can be an exhaustible task. The paper exactly deals with such alterations in the structure of the image. It offers a Hashing technique, which as best described, helps to detect and locate the tampered regions of the image. A comparison of various Hash Functions like MD5 and SHA-2, in particular, is put into effect with its implementation highlighting the desired tampered region of the image which is facilitated by the sliding window approach.
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