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首页> 外文期刊>WSEAS Transactions on Signal Processing >Copy-Move Forgery Detection in Digital Images by Reduced Features Ovelapping Block-Based Algorithm
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Copy-Move Forgery Detection in Digital Images by Reduced Features Ovelapping Block-Based Algorithm

机译：通过减少基于块的算法来复制 - 移动数字图像中的伪造检测

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摘要

Digital image forgery is one of the problems that, besides many benefits, appears with widespread use of digital images in all areas of life. Unfortunately, with rapidly developing and increasingly more powerful hardware and software, not only is digital photography manipulation for legitimate goals easier, but also for the forgery. One well-known forgery of digital images is the so-called copy-move forgery where one part of the image is copied to another location in the same image. In this paper we proposed an ovarlaping block-based method for detection of copy-move forgery. It uses overlaping blocks of the size 16*16 and only three features extracted from such blocks. Huge amount of computation is reduced by using bin-sort algorithm. The proposed method was tested on standard benchmark images and in spite of its simplicity it proved to be very successful.
机译：数字图像伪造是随着数字图像在生活各个领域的广泛使用而出现的问题之一，除了许多好处之外。不幸的是，随着硬件和软件的快速发展和功能越来越强大，数字摄影不仅更容易用于合法目的，也更容易用于伪造。一种众所周知的数字图像伪造是所谓的复制-移动伪造，即将图像的一部分复制到同一图像中的另一个位置。本文提出了一种基于椭圆拟合块的复制-移动伪造检测方法。它使用大小为16*16的重叠块，并且仅从这些块中提取三个特征。采用bin排序算法，大大减少了计算量。该方法在标准基准图像上进行了测试，尽管简单，但证明非常成功。

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