scholarly journals ZERO: a Local JPEG Grid Origin Detector Based on the Number of DCT Zeros and its Applications in Image Forensics

2021 ◽  
Vol 11 ◽  
pp. 396-433
Author(s):  
Tina Nikoukhah ◽  
Jérémy Anger ◽  
Miguel Colom ◽  
Jean-Michel Morel ◽  
Rafael Grompone von Gioi
Keyword(s):  
Image Forensics

Detecting “DeepFakes” in H.264 Video Data Using Compression Ghost Artifacts

2020 ◽  
Vol 2020 (4) ◽  
pp. 116-1-116-7
Author(s):  
Raphael Antonius Frick ◽  
Sascha Zmudzinski ◽  
Martin Steinebach
Keyword(s):  
Image Forensics ◽  
Video Data ◽  
Experimental Results ◽  
Video Sequences ◽  
The Internet ◽  
Video Content ◽  
High Quality ◽  
The Public

In recent years, the number of forged videos circulating on the Internet has immensely increased. Software and services to create such forgeries have become more and more accessible to the public. In this regard, the risk of malicious use of forged videos has risen. This work proposes an approach based on the Ghost effect knwon from image forensics for detecting forgeries in videos that can replace faces in video sequences or change the mimic of a face. The experimental results show that the proposed approach is able to identify forgery in high-quality encoded video content.

A Survey of Blind Digital Image Forensics Technology for Authenticity Detection

2009 ◽  
Vol 34 (12) ◽  
pp. 1458-1466 ◽  
Author(s):  
Qiong WU ◽  
Guo-Hui LI ◽  
Dan TU ◽  
Shao-Jie SUN
Keyword(s):  
Digital Image ◽  
Image Forensics ◽  
Digital Image Forensics

A Comprehensive Analysis of Image Forensics Techniques: Challenges and future Direction

2019 ◽  
Vol 13 ◽  
Author(s):  
Mohd Dilshad Ansari ◽  
Ekbal Rashid ◽  
S Siva Skandha ◽  
Suneet Kumar Gupta
Keyword(s):  
Image Forensics ◽  
Digital Era ◽  
Current State ◽  
Benchmark Datasets ◽  
Passive Authentication ◽  
Prime Objective ◽  
Future Direction ◽  
Source Of Information ◽  
Research Domain ◽  
Open Issues

Background: image forensics deal with the problem of authentication of pictures or their origins. There are two types of forensics techniques namely active and passive. Passive forgery is also known as blind forensics technique. In passive forgery, copy-move (cloning) image forensics is most common forgery technique. In this approach, an object or region of a picture is copied and positioned somewhere else in the same image. Active method used watermarking to solve picture genuineness problem. It has limitations like human involvement or particularly equipped cameras. To overwhelm these limitations, numerous passive authentication approaches have been developed. Moreover, both approaches do not require any prior information about the picture. Objective: The prime objective of this survey is to provide an inclusive summary as well as recent advancement, challenges and future direction in image forensics. In Today’s digital era the digital pictures and videos are having great impact on our life as well as society, as they became the important source of information. Though earlier it was very difficult to doctor the picture, nowadays digital pictures can be doctored easily with the help of editing tools and internet. These practices make pictures as well as videos genuineness deceptive. Conclusion: This paper presents the current state-of- the-art of passive (cloning) image forensics techniques, challenges and future direction of this research domain. Further, the major open issues in developing a robust cloning image forensics detector with their performance are discussed. Lastly, the available benchmark datasets are also discussed

A survey of passive technology for digital image forensics

2007 ◽  
Vol 1 (2) ◽  
pp. 166-179 ◽  
Author(s):  
Weiqi Luo ◽  
Zhenhua Qu ◽  
Feng Pan ◽  
Jiwu Huang
Keyword(s):  
Digital Image ◽  
Image Forensics ◽  
Digital Image Forensics

scholarly journals A Scaling Robust Copy-Paste Tampering Detection for Digital Image Forensics

2016 ◽  
Vol 79 ◽  
pp. 458-465 ◽  
Author(s):  
Anil Dada Warbhe ◽  
R.V. Dharaskar ◽  
V.M. Thakare
Keyword(s):  
Digital Image ◽  
Image Forensics ◽  
Digital Image Forensics ◽  
Tampering Detection

A Framework for Decision Fusion in Image Forensics Based on Dempster–Shafer Theory of Evidence

2013 ◽  
Vol 8 (4) ◽  
pp. 593-607 ◽  
Author(s):  
Marco Fontani ◽  
Tiziano Bianchi ◽  
Alessia De Rosa ◽  
Alessandro Piva ◽  
Mauro Barni
Keyword(s):  
Image Forensics ◽  
Decision Fusion ◽  
Dempster Shafer Theory ◽  
Shafer Theory ◽  
Theory Of Evidence
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