Fast, automatic and fine-grained tampered JPEG image detection via DCT coefficient analysis

The quick advance in image/video editing techniques has enabled people to synthesize realistic images/videos conveniently. Some legal issues may arise when a tampered image cannot be distinguished from a real one by visual examination. In this paper, we focus on JPEG images and propose detecting tam...

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Veröffentlicht in:Pattern recognition Jg. 42; H. 11; S. 2492 - 2501
Hauptverfasser: Lin, Zhouchen, He, Junfeng, Tang, Xiaoou, Tang, Chi-Keung
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Kidlington Elsevier Ltd 01.11.2009
Elsevier
Schlagworte:
Applied sciences
DCT coefficient
Detection, estimation, filtering, equalization, prediction
Double quantization
Exact sciences and technology
Image processing
Information, signal and communications theory
JPEG
Pattern analysis
Pattern recognition
Sampling, quantization
Signal and communications theory
Signal processing
Signal, noise
Tampered image detection
Telecommunications and information theory
Tampered image detection
JPEG
Double quantization
Pattern analysis
DCT coefficient
Image processing
Video technique
Image compression
Realistic images
Image coding
Signal quantization
Signal processing
Image sensor
Discrete cosine transforms
Signal detection
JPE
ISSN:0031-3203, 1873-5142
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung:The quick advance in image/video editing techniques has enabled people to synthesize realistic images/videos conveniently. Some legal issues may arise when a tampered image cannot be distinguished from a real one by visual examination. In this paper, we focus on JPEG images and propose detecting tampered images by examining the double quantization effect hidden among the discrete cosine transform (DCT) coefficients. To our knowledge, our approach is the only one to date that can automatically locate the tampered region, while it has several additional advantages: fine-grained detection at the scale of 8 × 8 DCT blocks, insensitivity to different kinds of forgery methods (such as alpha matting and inpainting, in addition to simple image cut/paste), the ability to work without fully decompressing the JPEG images, and the fast speed. Experimental results on JPEG images are promising.
ISSN:0031-3203
1873-5142
DOI:10.1016/j.patcog.2009.03.019