Image splicing forgery approachs: A review and future direction

• Main Authors: Ernawati, Muji, Ernawan, Ferda, Abbker, Yagoub, Fakhreldin, Mohammad Adam Ibrahim, Adi, Prajanto Wahyu
• Format: Conference or Workshop Item
• Language: English; English
• Published: Institute of Electrical and Electronics Engineers Inc. 2022
• Subjects: QA75 Electronic computers. Computer science; QA76 Computer software; T Technology (General); TA Engineering (General). Civil engineering (General)
• Online Access: http://umpir.ump.edu.my/id/eprint/39335/1/Image%20splicing%20forgery%20approachs_A%20review%20and%20future%20direction.pdf; http://umpir.ump.edu.my/id/eprint/39335/2/Image%20splicing%20forgery%20approachs_A%20review%20and%20future%20direction_ABS.pdf; http://umpir.ump.edu.my/id/eprint/39335/; https://doi.org/10.1109/ICICoS56336.2022.9930543

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.