article · IEEE Transactions on Image Processing · 2011
Image Authentication Using Distributed Source Coding
Yao-Chung Lin, David Varodayan, Bernd Girod
Cited by 36Abstract and details only
Abstract
We present a novel approach using distributed source coding for image authentication. The key idea is to provide a Slepian-Wolf encoded quantized image projection as authentication data. This version can be correctly decoded with the help of an authentic image as side information. Distributed source coding provides the desired robustness against legitimate variations while detecting illegitimate modification. The decoder incorporating expectation maximization algorithms can authenticate images which have undergone contrast, brightness, and affine warping adjustments. Our authentication system also offers tampering localization by using the sum-product algorithm.
Cite this paper
Lin, Y.-C., Varodayan, D., & Girod, B. (2011). Image Authentication Using Distributed Source Coding. IEEE Transactions on Image Processing, 21(1), 273–283. https://doi.org/10.1109/tip.2011.2157515
Lin, Yao-Chung, et al. “Image Authentication Using Distributed Source Coding.” IEEE Transactions on Image Processing, vol. 21, no. 1, 2011, pp. 273–83, https://doi.org/10.1109/tip.2011.2157515.
Lin, Yao-Chung, David Varodayan, and Bernd Girod. 2011. “Image Authentication Using Distributed Source Coding.” IEEE Transactions on Image Processing 21 (1): 273–83. https://doi.org/10.1109/tip.2011.2157515.
Lin, Y.-C., Varodayan, D. and Girod, B. (2011) ‘Image Authentication Using Distributed Source Coding’, IEEE Transactions on Image Processing, 21(1), pp. 273–283. Available at: https://doi.org/10.1109/tip.2011.2157515.
@article{lin2011image,
title = {{Image Authentication Using Distributed Source Coding}},
author = {Lin, Yao-Chung and Varodayan, David and Girod, Bernd},
journal = {IEEE Transactions on Image Processing},
volume = {21},
number = {1},
pages = {273--283},
year = {2011},
doi = {10.1109/tip.2011.2157515}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.