Error level analysis (ELA)

Tehnika Pub Date : 2023-01-01 DOI:10.5937/tehnika2304445r
D. Raković
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引用次数: 0

Abstract

ELA (Error Level Analysis) is a digital image analysis technique that has gained popularity in recent years in the field of modern forensics. It is a powerful method that can help experts determine if an image has been altered or manipulated in any way. ELA works by analyzing the levels of compression within an image and identifying areas that have been edited or manipulated at a different level than the rest of the image. This information can be crucial in criminal investigations, where the authenticity of an image can be key to solving a case. In this article, we will explore the use of ELA in modern forensics, its benefits, and limitations, as well as its potential impact on the future of forensic investigation.
错误等级分析(ELA)
错误水平分析(Error Level Analysis,简称ELA)是近年来在现代法医领域兴起的一种数字图像分析技术。这是一种强大的方法,可以帮助专家确定图像是否以任何方式被改变或操纵。ELA的工作原理是分析图像中的压缩级别,并识别在不同级别上被编辑或操作的区域,而不是图像的其他部分。这些信息在刑事调查中可能是至关重要的,在刑事调查中,图像的真实性可能是破案的关键。在本文中,我们将探讨ELA在现代法医学中的应用,它的优点和局限性,以及它对未来法医学调查的潜在影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
自引率
0.00%
发文量
26
审稿时长
4 weeks
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