Image splicing forgery approachs: A review and future direction

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Abstract

With advances in image editing tools, attempts have been made to modify images, the altered image cannot be distinguished. This paper examines various approaches to image splicing forgery, discusses the weakness of methods, analyse the existing methods, and discusses the current solution to solve those issues, and future direction. This paper presents existing datasets, pre-processing techniques, feature extraction techniques, and classification algorithms that have been used in image splicing. This paper suggests some recommendations for future research which focuses on image localization, pre-processing, and feature extraction to improve accuracy in detecting image splicing forgery.

Item Type:	Conference or Workshop Item (Lecture)
Additional Information:	Indexed by Scopus
Uncontrolled Keywords:	Classification algorithms; Copy move; Feature extraction; Image splicing; Watermarking
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General)
Faculty/Division:	College of Engineering Faculty of Computing
Depositing User:	Mr Muhamad Firdaus Janih@Jaini
Date Deposited:	20 Nov 2023 06:59
Last Modified:	20 Nov 2023 06:59
URI:	http://umpir.ump.edu.my/id/eprint/39335
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