Adding Gaussian Noise to Denoise JPEG for detecting Image Resizing

L. Nataraj, A. Sarkar and B. S. Manjunath,
Department of Electrical and Computer Engineering,
University of California at Santa Barbara
Santa Barbara, CA 93106
{lakshmanan_nataraj,anindya,manj} [at]


In this paper, we propose robust methods to detect image resizing. A common problem affecting most resizing detection algorithms is that they are susceptible to JPEG compression attacks. The reason is that JPEG compression introduces its own periodicity, as it works on 8x8 blocks. In our proposed approach, 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 the resizing is retained. The controlled Gaussian noise addition works better than median filtering and weighted averaging based filtering for suppressing the JPEG induced periodicity.
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L. Nataraj, A. Sarkar and B. S. Manjunath,
International Conference on Image Processing, 2009, pp. 1493-1496, Cairo, Egypt, Nov. 2009.
Node ID: 524 , DB ID: 331 , Lab: VRL , Target: Conference
Subject: [Digital Watermarking and Data Hiding] « Look up more