CASIA Image Tampering Detection Evaluation Database
Chinese Academy of Sciences · Shandong Institute of Automation
Abstract
Image forensics has now raised the anxiety of justice as increasing cases of abusing tampered images in newspapers and court for evidence are reported recently. With the goal of verifying image content authenticity, passive-blind image tampering detection is called for. More realistic open benchmark databases are also needed to assist the techniques. Recently, we collect a natural color image database with realistic tampering operations. The database is made publicly available for researchers to compare and evaluate their proposed tampering detection techniques. We call this database CASI-A Image Tampering Detection Evaluation Database. We describe the purpose, the design criterion, the organization and…
Citation impact
- FWCI
- 3.04
- Percentile
- 100%
- References
- 13
Authors
3Topics & keywords
- Computer science
- Image (mathematics)
- Database
- Benchmark (surveying)
- Artificial intelligence
- Data mining
- Peace, Justice and strong institutions