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Detecting Digital Image Forgeries by Measuring Inconsistencies of Blocking Artifact

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3 Author(s)
Shuiming Ye ; Institute for Infocomm Research, Singapore 119613; School of Computing, National University of Singapore, Singapore 117543. Email: shuiming@i2r.a-star.edu.sg ; Qibin Sun ; Ee-Chien Chang

Digital images can be forged easily with today's widely available image processing software. In this paper, we describe a passive approach to detect digital forgeries by checking inconsistencies of blocking artifact. Given a digital image, we find that the blocking artifacts introduced during JPEG compression could be used as a "natural authentication code". A blocking artifact measure is then proposed based on the estimated quantization table using the power spectrum of the DCT coefficient histogram. Experimental results also demonstrate the validity of the proposed approach.

Published in:

2007 IEEE International Conference on Multimedia and Expo

Date of Conference:

2-5 July 2007