A review of digital image forensics

被引：39
|
作者：
Ferreira, William D. [1 ]
Ferreira, Cristiane B. R. [1 ]
Junior, Gelson da Cruz [2 ]
Soares, Fabrizzio [1 ,3 ]
机构：
[1] Univ Fed Goias, Inst Informat, Quadra D,Campus Samambaia, Goiania, Go, Brazil
[2] Univ Fed Goias, Sch Elect Mech & Comp Engn, Av Univ 1488,Bloco A, Goiania, Go, Brazil
[3] Southern Oregon Univ SOU, Dept Comp Sci, 1250 Siskiyou Blvd, Ashland, OR USA
来源：
COMPUTERS & ELECTRICAL ENGINEERING | 2020年 / 85卷
关键词：
Forensic science; Digital image processing; Image source authentication; Image forgery detection; Local image descriptors;
D O I：
10.1016/j.compeleceng.2020.106685
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
The manipulation of digital images has become very common in recent years. Thus, it is possible to cut, clone, and resize an image very quickly, which makes it challenging to validate the integrity and authenticity of images. Furthermore, digital images can be used by forensic experts in their forensic investigations. In this context, digital image forensics (DIF) has emerged as an essential area of expertise focused on verifying the authenticity and integrity of digital files. This paper presents a literature review of DIF, covering active and passive methods as well as those based on deep learning, and our work presents a vast and updated set of references synthesized in textual, tabular, and graphic form. (c) 2020 Elsevier Ltd. All rights reserved.
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页数：9
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