Paper Info
Title
Detecting Double JPEG Compression With the Same Quantization Matrix
Abstract
Detection of double joint photographic experts group (JPEG) compression is of great significance in the field of digital forensics. Some successful approaches have been presented for detecting double JPEG compression when the primary compression and the secondary compression have different quantization matrixes. However, when the primary compression and the secondary compression have the same quantization matrix, no detection method has been reported yet. In this paper, we present a method which can detect double JPEG compression with the same quantization matrix. Our algorithm is based on the observation that in the process of recompressing a JPEG image with the same quantization matrix over and over again, the number of different JPEG coefficients, i.e., the quantized discrete cosine transform coefficients between the sequential two versions will monotonically decrease in general. For example, the number of different JPEG coefficients between the singly and doubly compressed images is generally larger than the number of different JPEG coefficients between the corresponding doubly and triply compressed images. Via a novel random perturbation strategy implemented on the JPEG coefficients of the recompressed test image, we can find a “proper” randomly perturbed ratio. For different images, this universal “proper” ratio will generate a dynamically changed threshold, which can be utilized to discriminate the singly compressed image and doubly compressed image. Furthermore, our method has the potential to detect triple JPEG compression, four times JPEG compression, etc.
Year
DOI
Venue
2010
10.1109/TIFS.2010.2072921
IEEE Transactions on Information Forensics and Security
Keywords
Field
DocType
different image,jpeg image,double jpeg compression,image coding,triple jpeg compression,matrix algebra,data compression,random perturbation strategy,digital forensic,jpeg coefficient,computer forensics,vector quantisation,discrete cosine transforms,jpeg compression,digital forensics,secondary compression,joint photographic expert group,quantized discrete cosine transform,primary compression,times jpeg compression,quantization matrix,double joint photographic experts group (jpeg) compression,different jpeg coefficient,quantization,discrete cosine transform,image reconstruction,decoding,transform coding
Computer vision,Lossless JPEG,Data compression ratio,Pattern recognition,Lossy compression,Compression artifact,Computer science,JPEG,Artificial intelligence,Quantization (image processing),JPEG 2000,Data compression
Journal
Volume
Issue
ISSN
5
4
1556-6013
Citations 
PageRank 
References 
61
1.92
11
Authors
3
Name
Order
Citations
PageRank
Fangjun Huang143323.61
Jiwu Huang22784178.51
Yun Qing Shi351823.34