Tampering Detection and Localization Through Clustering of Camera-Based CNN Features

2017 ◽  
Author(s):  
Luca Bondi ◽  
Silvia Lameri ◽  
David Guera ◽  
Paolo Bestagini ◽  
Edward J. Delp ◽  
...  
Keyword(s):  
Tampering Detection ◽  
Detection And Localization

scholarly journals Detection and Localization of Image and Video Tampering

2020 ◽  
Vol 9 (4) ◽  
pp. 1951-1956
Keyword(s):  
Social Media ◽  
Digital Images ◽  
Military Medicine ◽  
Tampering Detection ◽  
Medicine Research ◽  
The Past ◽  
Digital Contents ◽  
Current Scenario ◽  
Detection And Localization ◽  
Digital Tampering

Digital images and videos are widely used in various fields like courtrooms ,military ,medicine ,research, social media etc. So, maintaining the authenticity and integrity of these digital contents is a major concern. For the past few years, researches were going on to find out tampering in the digital contents. Active and passive approaches are the major classification for digital tampering detection. Here, we discuss some of the active and passive approaches and their significance in the current scenario.

Image Forgery Detection and Localization

2021 ◽  
pp. 176-182
Author(s):  
Aditi Shedge ◽  
Shaily Shah ◽  
Shubham Pandey ◽  
Mansi Pandey ◽  
Rupali Satpute
Keyword(s):  
Human Brain ◽  
Sources Of Information ◽  
Forgery Detection ◽  
Image Splicing ◽  
Tampering Detection ◽  
Image Forgery ◽  
Detection Techniques ◽  
Image Forgery Detection ◽  
Crime Investigation ◽  
Detection And Localization

A human brain responds at a much faster rate to images and the information it contains. An image is considered as proof of past events that have occurred, but in today's world where editing tools are made available so easily tampering of images and hiding the original content has become too mainstream. The identification of these tampered images is very important as images are considered as vital sources of information in crime investigation and in various other fields. The image forgery detection techniques check the credibility of the image. Various research has been carried out in dealing with image forgery and tampering detection techniques, this paper highlights various the type of forgery and how they can be detected using various techniques. The fusion of various algorithms so that a complete reliable type of algorithm can be developed to deal mainly with copy-move and image splicing forgery. The copy-move and image splicing method are main focus of this paper.

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