Digital Image Forensic: Comparative Scrutiny of Foregoing Techniques

R. D. Sushir, D. Wakde, Sarita S. Bhutada
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引用次数: 0

Abstract

CMF (Copy-move forgery) is one of the most primitive types of image doctoring with least complex tools and effectiveness of manipulation. In its primary form, CMF is nothing but a copy-n-paste process of digital image doctoring wherein some parts of an input image is taken as a copy and then pasted over another location in an image. Hence it is harder to believe what one sees in an image and doubt always remains part of whatever viewed in this digital world. Thus aim of copy-move forgery detection (CMFD) is to find regions in an image which matches different part of an image. Thus, to find similarity is ultimate goal of CMFD. Rotating or resizing of tampered area of image after attachment, is dominant problem that decline the performance of some of the major algorithms. This survey aims to explore different image manipulation detection algorithms and techniques already implemented in digital forensic research field. Depending upon fundamental methodology used these methods can be categorized and then differentiated.
数字图像法医:上述技术的比较审查
CMF(复制-移动伪造)是最原始的图像篡改类型之一,使用的工具最简单,操作效率也最低。在其主要形式中,CMF只不过是数字图像处理的复制-粘贴过程,其中将输入图像的某些部分作为副本,然后将其粘贴到图像中的另一个位置。因此,人们很难相信自己在图像中看到的东西,而怀疑总是在这个数字世界中所看到的东西的一部分。因此,复制-移动伪造检测(CMFD)的目的是在图像中找到与图像的不同部分相匹配的区域。因此,寻找相似性是CMFD的最终目标。图像附加后篡改区域的旋转或大小调整是影响一些主要算法性能的主要问题。本调查旨在探讨不同的图像处理检测算法和技术已经实现在数字法医研究领域。根据使用的基本方法论,可以对这些方法进行分类,然后加以区分。
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