Copy-move image forgery detection based on evolving circular domains coverage

• Main Authors: Lu, Shilin, Hu, Xinghong, Wang, Chengyou, Chen, Lu, Han, Shulu, Han, Yuejia
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Electrical and electronic engineering; Image Forensics; Copy-Move Forgery Detection
• Online Access: https://hdl.handle.net/10356/162782
• Institution: Nanyang Technological University

The aim of this paper is to improve the accuracy of copy-move forgery detection (CMFD) in image forensics by proposing a novel scheme and the main contribution is evolving circular domains coverage (ECDC) algorithm. The proposed scheme integrates both block-based and keypoint-based forgery detection...