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CASIA Image Tampering Detection Evaluation Database
Dong, Jing; Wang, Wei; Tan, Tieniu
2013
Conference NameIEEE China Summit & International Conference on Signal and Information Processing
Source PublicationProceedings of 2013 IEEE China Summit and International Conference on Signal and Information Processing
Conference Date6-10 July 2013
Conference PlaceBeijing, China
AbstractImage 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 self-evaluation of this database in this paper.
KeywordDatabase Image Forensics
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12318
Collection智能感知与计算研究中心
Corresponding AuthorDong, Jing
Recommended Citation
GB/T 7714
Dong, Jing,Wang, Wei,Tan, Tieniu. CASIA Image Tampering Detection Evaluation Database[C],2013.
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