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Proceedings Paper

Image tampering localization via estimating the non-aligned double JPEG compression
Author(s): Lanying Wu; Xiangwei Kong; Bo Wang; Shize Shang
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Paper Abstract

In this paper, we present an efficient method to locate the forged parts in a tampered JPEG image. The forged region usually undergoes a different JPEG compression with the background region in JPEG image forgeries. When a JPEG image is cropped to another host JPEG image and resaved in JPEG format, the JPEG block grid of the tampered region often mismatches the JPEG block grid of the host image with a certain shift. This phenomenon is called non-aligned double JPEG compression (NA-DJPEG). In this paper, we identify different JPEG compression forms by estimating the shift of NA-DJPEG compression. Our shift estimating approach is based on the percentage of non zeros of JPEG coefficients in different situations. Compared to previous work, our tampering location method (i) performances better when dealing with small image size, (ii) is robust to common tampering processing such as resizing, rotating, blurring and so on, (iii) doesn't need an image dataset to train a machine learning based classifier or to get a proper threshold.

Paper Details

Date Published: 22 March 2013
PDF: 7 pages
Proc. SPIE 8665, Media Watermarking, Security, and Forensics 2013, 86650R (22 March 2013); doi: 10.1117/12.2003695
Show Author Affiliations
Lanying Wu, Dalian Univ. of Technology (China)
Xiangwei Kong, Dalian Univ. of Technology (China)
Bo Wang, Dalian Univ. of Technology (China)
Shize Shang, Dalian Univ. of Technology (China)


Published in SPIE Proceedings Vol. 8665:
Media Watermarking, Security, and Forensics 2013
Adnan M. Alattar; Nasir D. Memon; Chad D. Heitzenrater, Editor(s)

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