Passive detection of paint-doctored JPEG images

Authors:
Yu Qian Zhao;Frank Y. Shih;Yun Q. Shi
Affiliations:
School of Info-Physics and Geomatics Engineering, Central South University, Changsha, Hunan, China;Computing Sciences, New Jersey Institute of Technology, Newark, NJ;Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ
Venue:
IWDW'10 Proceedings of the 9th international conference on Digital watermarking
Year:
2010

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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.