Adding Gaussian noise to "denoise" JPEG for detecting image resizing

Authors:
L. Nataraj;A. Sarkar;B. S. Manjunath
Affiliations:
Department of Electrical and Computer Engineering, University of California at Santa Barbara, Santa Barbara, CA;Department of Electrical and Computer Engineering, University of California at Santa Barbara, Santa Barbara, CA;Department of Electrical and Computer Engineering, University of California at Santa Barbara, Santa Barbara, CA
Venue:
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Year:
2009

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Abstract

A common problem affecting most image resizing detection algorithms is that they are susceptible to JPEG compression. This is because JPEG introduces periodic artifacts, as it works on 8×8 blocks. We propose a novel yet counter intuitive technique to "denoise" JPEG images by adding Gaussian noise. We add a suitable amount of Gaussian noise to a resized and JPEG compressed image so that the periodicity due to JPEG compression is suppressed while that due to resizing is retained. The controlled Gaussian noise addition works better than median filtering and weighted averaging based filtering for suppressing the JPEG induced periodicity.