@inproceedings{aa83e78099824db585efbcb5ef82a5d5,
title = "Passive detection of paint-doctored JPEG images",
abstract = "Image painting is an image doctoring method to remove particular objects. In this paper, a novel passive detection method for paint-doctored JPEG images is proposed when the doctored image is saved in an uncompressed format or in the JPEG compressed format. We detect the doctored region by computing the average of sum of absolute difference images between the doctored image and a resaved JPEG compressed image at different quality factors. There are several advantages of the proposed method: first, it can detect the doctored region accurately even if the doctored region is small in size; second, it can detect multiple doctored regions in the same image; third, it can detect the doctored region automatically and does not need any manual operation; finally, the computation is simple. Experimental results show that the proposed method can detect the paint-doctored regions efficiently and accurately.",
keywords = "Image forensic, JPEG compression, Painted-doctored image, Sum of absolute difference",
author = "Zhao, {Yu Qian} and Shih, {Frank Y.} and Shi, {Yun Q.}",
note = "Funding Information: This work is supported by Hunan Provincial Natural Science Foundation of China (09JJ3119), the Planned Hunan Provincial Science and Technology Project of China (2009FJ3015), and China Postdoctoral Science Foundation Specially Funded Project (200902482). The authors would like to thank Dr. Weihai Li for giving them good suggestion, and thank the anonymous reviewers for their valuable comments.",
year = "2011",
doi = "10.1007/978-3-642-18405-5_1",
language = "English (US)",
isbn = "9783642184048",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "1--11",
booktitle = "Digital Watermarking - 9th International Workshop, IWDW 2010, Revised Selected Papers",
address = "Germany",
}