数字图像取证中的本福德定律分析

N. Singh, Rishab Bansal
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引用次数: 3

摘要

数字图像取证旨在揭示和分析有关图像的潜在事实。其主要目标妥协:篡改检测(克隆,愈合,修饰,拼接),隐藏数据检测和恢复,未经事先测量或图像注册的源识别。本文分析了本福德定律在数字图像取证中的应用。JPEG和JPEG2000大致遵循这一规律,JPEG2000更接近于给定的规律。在不同的取证设置中不遵循这一规律可以作为指纹。此外,在压缩图像中偏离本福德定律的量可以用来发现伪造。仿真结果验证了理论的正确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of Benford's law in digital image forensics
Digital Image Forensics aims at uncovering and analyzing the underlying facts about the image. Its main objectives compromises: tampering detection (cloning, healing, retouching, splicing), hidden data detection and recovery, source identification with no prior measurement or registration of the image. In this paper, application of Benford' law in Digital Image Forensics has been analyzed. JPEG and JPEG2000 approximately follow this law and JPEG2000 found closer to the given law. The non-following of this law in different forensics setups can be used as fingerprint. Further, amount of deviation from Benford' law in compressed images can be used to find forgery. Simulations results are given to establish the theory.
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