A Review on Automatic Image Forgery Classification Using Advanced Deep Learning Techniques

Anshul Kumar Singh*, Chandani Sharma, Brajesh Kumar Singh, Erma Suryani

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Digital images are the representation of an event and considered as an evidence for most of the cases and scenarios. Copy-move forgery is a generic sort of forgery method. The technique for recreating one segment or part of the picture inside a similar picture is called as copy-move forgery. An effective and dependable technique has been created by various authors for recognizing these forgeries for restoring the image credibility. Passive approaches of image forgery detection are very hard to achieve. Copy-move, cut-paste, image splicing, image retouching and lightening condition are the examples of independent forgery techniques. Various techniques have been used by various authors like deep learning, convolution neural network, median filtering detection based on CNN, copy-move forgery detection, ringed residual, discrete cosine transform, U-Net, image splicing forgery detection, etc., with good accuracy on publically accessible databases like CASIA, dataset series of MICC, CoMoFoD, BSDS300, etc. In this paper, we have done a critical analysis of these image forgery detection technologies and the dataset available publically. Comparative analysis based on techniques, model, dataset and accuracy has been performed, and they achieve good accuracy as well.

Original languageEnglish
Title of host publicationAdvances in Data and Information Sciences - Proceedings of ICDIS 2022
EditorsShailesh Tiwari, Munesh C. Trivedi, Mohan L. Kolhe, Brajesh Kumar Singh
PublisherSpringer Science and Business Media Deutschland GmbH
Pages1-10
Number of pages10
ISBN (Print)9789811952913
DOIs
Publication statusPublished - 2023
Event4th International Conference on Data and Information Sciences, ICDIS 2022 - Agra, India
Duration: 6 May 20227 May 2022

Publication series

NameLecture Notes in Networks and Systems
Volume522
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

Conference4th International Conference on Data and Information Sciences, ICDIS 2022
Country/TerritoryIndia
CityAgra
Period6/05/227/05/22

Keywords

  • CNN
  • Copy-move forgery
  • Cut-paste
  • Image splicing

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