Improved DCT coefficient analysis for forgery localization in JPEG images

Improved DCT coefficient analysis for forgery localization in JPEG images
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DOI:
10.1109/icassp.2011.5946978
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发表时间:
2011-05
期刊:
2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
影响因子:
--
通讯作者:
T. Bianchi;A. D. Rosa;A. Piva
T. Bianchi;A. D. Rosa;A. Piva
中科院分区:
其他
文献类型:
--
作者:
T. Bianchi;A. D. Rosa;A. Piva

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在本文中,我们提出了一个统计测试来区分原始和伪造的JPEG图像的区域,假设前者是双重压缩,而后者是单压缩。提出了一种新的单压缩和双压缩区域DCT系数的概率模型,以及在双压缩情况下估计主量化因子的可靠方法。基于这些模型,每个DCT块被伪造的概率。实验结果表明,一个更好的歧视行为相对于以前提出的方法。
In this paper, we propose a statistical test to discriminate between original and forged regions in JPEG images, under the hypothesis that the former are doubly compressed while the latter are singly compressed. New probability models for the DCT coefficients of singly and doubly compressed regions are proposed, together with a reliable method for estimating the primary quantization factor in the case of double compression. Based on such models, the probability for each DCT block to be forged is derived. Experimental results demonstrate a better discriminating behavior with respect to previously proposed methods.