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Image forgery detection a survey of recent deep-learning approaches

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Bibliographic Details
Main Authors: Marcello, Zanardelli, Fabrizio, Guerrini, Riccardo, Leonardi
Format: Book
Language:English
Published: Springer 2023
Subjects:
DeepFake
DL
Online Access:https://link.springer.com/article/10.1007/s11042-022-13797-w
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8330
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spelling oai:localhost:PNK-83302023-04-26T04:17:30Z Image forgery detection a survey of recent deep-learning approaches Marcello, Zanardelli Fabrizio, Guerrini Riccardo, Leonardi DeepFake DL CC BY In the last years, due to the availability and easy of use of image editing tools, a large amount of fake and altered images have been produced and spread through the media and the Web. A lot of different approaches have been proposed in order to assess the authenticity of an image and in some cases to localize the altered (forged) areas. In this paper, we conduct a survey of some of the most recent image forgery detection methods that are specifically designed upon Deep Learning (DL) techniques, focusing on commonly found copy-move and splicing attacks. DeepFake generated content is also addressed insofar as its application is aimed at images, achieving the same effect as splicing. This survey is especially timely because deep learning powered techniques appear to be the most relevant right now, since they give the best overall performances on the available benchmark datasets. 2023-04-26T04:17:30Z 2023-04-26T04:17:30Z 2022 Book https://link.springer.com/article/10.1007/s11042-022-13797-w https://dlib.phenikaa-uni.edu.vn/handle/PNK/8330 en application/pdf Springer
institution Digital Phenikaa
collection Digital Phenikaa
language English
topic DeepFake
DL
spellingShingle DeepFake
DL
Marcello, Zanardelli
Fabrizio, Guerrini
Riccardo, Leonardi
Image forgery detection a survey of recent deep-learning approaches
description CC BY
format Book
author Marcello, Zanardelli
Fabrizio, Guerrini
Riccardo, Leonardi
author_facet Marcello, Zanardelli
Fabrizio, Guerrini
Riccardo, Leonardi
author_sort Marcello, Zanardelli
title Image forgery detection a survey of recent deep-learning approaches
title_short Image forgery detection a survey of recent deep-learning approaches
title_full Image forgery detection a survey of recent deep-learning approaches
title_fullStr Image forgery detection a survey of recent deep-learning approaches
title_full_unstemmed Image forgery detection a survey of recent deep-learning approaches
title_sort image forgery detection a survey of recent deep-learning approaches
publisher Springer
publishDate 2023
url https://link.springer.com/article/10.1007/s11042-022-13797-w
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8330
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score 8.891145

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