现有数字图像伪造检测技术综述

Rajneesh Rani, Akshay Kumar, Amrita Rai
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引用次数: 0

摘要

21世纪的执法工作以数字图像或视频中的证据为基础。因此,数字图像处理在执法领域得到了大量应用,特别是在检测与法律事务有关的数字证据是否被篡改时。由于各种软件很容易获得,对于任何罪犯来说,为了他们的理由而转换数字图像或视频等证据都是毫不费力的。因此,有两种类型的篡改检测技术用于保持数字证据的完整性,即主动和被动。主动方法要求在图像中存在某种预嵌入数据,使用这些数据可以执行检测,而被动技术则适用于没有任何此类条件的技术。本文将详细讨论这些技术的区别、工作原理和分类。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Brief Review on Existing Techniques for Detecting Digital Image Forgery
Law enforcement in the 21st century works on the evidence present in digital images or videos. Digital image processing is, thus, being heavily applied in the field of law enforcement, especially when it comes to detecting whether digital evidence related to legal matters has been tampered with or not. Due to the easy availability of various software, it is effortless for any law offender to have evidence such as digital images or videos transformed for their cause. Hence, two types of tampering detection techniques are used to maintain the integrity of digital evidence, namely Active and Passive. The active methods require that some kind of pre-embedded data be present in the image, using which detection can be performed while the passive techniques are applicable without any such condition. The differences, working, and classifications of these techniques are elaborately discussed here.
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