Comprehensive analyses of image forgery detection methods from traditional to deep learning approaches: an evaluation

• Published in: Multimedia tools and applications Vol. 82; no. 12; pp. 18117 - 18150
• Main Authors: Sharma, Preeti, Kumar, Manoj, Sharma, Hitesh
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.05.2023; Springer Nature B.V
• Subjects: Comparative studies; Computer Communication Networks; Computer Science; Data Structures and Information Theory; Deep learning; Digital imaging; Forgery; Medical imaging; Multimedia Information Systems; Software; Special Purpose and Application-Based Systems; Image splicing; Deep learning-based detection techniques; Digital image forensics; GAN; Copy-move forgery detection; Data-driven methods

The digital image proves critical evidence in the fields like forensic investigation, criminal investigation, intelligence systems, medical imaging, insurance claims, and journalism to name a few. Images are an authentic source of information on the internet and social media. But, using easily avail...