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With the widespread popularity of digital images and the presence of easy-to-use image editing software, content integrity can no longer be taken for granted, and there is a strong need for techniques that not only detect the presence of tampering but also identify its type. This paper focusses on tampering-type identification and introduces a new approach based on the Empirical Frequency Response (EFR) to address this problem. We show that several types of tampering operations, both lineardoi:10.1109/icassp.2009.4959884 dblp:conf/icassp/ChuangSW09 fatcat:rqmmelogdba3xgpp3ngojnlcbu