@inproceedings{fb6328f44bbf425cb1b3940e15e2c76b,
title = "Enhancing image forgery detection using 2-D cross products",
abstract = "The availability of sophisticated, easy-to-use image editing tools means that the authenticity of digital images can no longer be guaranteed. This chapter proposes a new method for enhancing image forgery detection by combining two detection techniques using a 2-dimensional cross product. Compared with traditional approaches, the method yields better detection results in which the tampered regions are clearly identified. Another advantage is that the method can be applied to enhance a variety of detection algorithms. The method was tested on the CASIA TIDE v2.0 public dataset of color images and the results compared against those obtained using the re-interpolation, JPEG noise quantization and noise estimation techniques. The experimental results indicate that the proposed method is efficient and has superior detection characteristics.",
keywords = "Cross product, Forgery detection, Image tampering",
author = "Songpon Teerakanok and Tetsutaro Uehara",
note = "Publisher Copyright: {\textcopyright} IFIP International Federation for Information Processing 2016.; 12th IFIP WG 11.9 International Conference on Advances in Digital Forensics, 2016 ; Conference date: 04-01-2016 Through 06-01-2016",
year = "2016",
doi = "10.1007/978-3-319-46279-0\_15",
language = "English",
isbn = "9783319462783",
series = "IFIP Advances in Information and Communication Technology",
publisher = "Springer New York LLC",
pages = "297--310",
editor = "Sujeet Shenoi and Gilbert Peterson",
booktitle = "Advances in Digital Forensics XII - 12th IFIP WG 11.9 International Conference, Revised Selected Papers",
}