NDLI: Detecting Composite JPEG Images in Transform Domain

Content Provider	IEEE Xplore Digital Library
Author	Ergong Zheng Xijian Ping Tao Zhang
Copyright Year	2010
Abstract	Compositing is one of the most common forms of digital image tampering. In this paper, we present a passive approach to detect composite JPEG images by measuring inconsistencies of blocking artifacts. Firstly, double-compression detection is performed to estimate the primary quality factor. Secondly, the blocking artifacts ratio mapping is extracted in the DCT domain via computing the blocking artifacts with different block-dividing manners at primary quality factor. Finally, automatic tampering detection and location of tampered region are fulfilled by image segmentation. Experimental results indicate the proposed algorithm is effective to images of various qualities and small tampered regions. With the false positive rate of 1%, the detection accuracy for composite images is above 93% for differences of quality factors before/after tampering larger than 15 and for tampered regions with size 64×64. Furthermore, owing to the elimination of decompression/ compression conversion, the proposed method has advantage of low computational complexity.
Starting Page	340
Ending Page	344
File Size	646541
Page Count	5
File Format	PDF
ISBN	9781424486267
e-ISBN	9780769542584
DOI	10.1109/MINES.2010.78
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-11-04
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Blocking artifacts Image forensics Image coding Q factor Digital images Double JPEG compression Transform coding Composite image Quantization Forgery Discrete cosine transforms Tampering detection
Content Type	Text
Resource Type	Article

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