Detection of Nonaligned Double JPEG Compression Based on Integer Periodicity Maps

被引：179

作者：

Bianchi, Tiziano ^{[1
,2
]}

Piva, Alessandro ^{[1
,2
]}

机构：

[1] Univ Florence, CNIT Res Unit, I-50139 Florence, Italy

[2] Univ Florence, Dept Elect & Telecommun, I-50139 Florence, Italy

来源：

IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY | 2012年 / 7卷 / 02期

关键词：

Image forensics; JPEG artifacts; nonaligned double JPEG compression; threshold detector;

D O I：

10.1109/TIFS.2011.2170836

中图分类号：

TP301 [理论、方法];

学科分类号：

080201 [机械制造及其自动化];

摘要：

In this paper, a simple yet reliable algorithm to detect the presence of nonaligned double JPEG compression (NA-JPEG) in compressed images is proposed. The method evaluates a single feature based on the integer periodicity of the blockwise discrete cosine transform (DCT) coefficients when the DCT is computed according to the grid of the previous JPEG compression. Even if the proposed feature is computed relying only on DC coefficient statistics, a simple threshold detector can classify NA-JPEG images with improved accuracy with respect to existing methods and on smaller image sizes, without resorting to a properly trained classifier. Moreover, the proposed scheme is able to accurately estimate the grid shift and the quantization step of the DC coefficient of the primary JPEG compression, allowing one to perform a more detailed analysis of possibly forged images.

引用

页码：842 / 848

页数：7

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