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Anti-Forensics of Lossy Predictive Image Compression
Yuanman Li; Jiantao Zhou
2015-08-25
Source PublicationIEEE Signal Processing Letters
ISSN1070-9908
Volume22Issue:12Pages:2219-2223
Abstract

Image compression evidence has been utilized as an important forensic feature to justify image authenticity. However, some recent studies showed that the compression evidence of block transform-based image coding, e.g., JPEG and JPEG2000, can be effectively erased by adding designed dither noise in the transform domain. In this paper, we demonstrate that it is also feasible to hide the compression evidence of lossy predictive image coding, a class of compression paradigm widely employed in critical scenarios. To tackle the challenging issue of error propagation inherent to predictive coding, we design a prediction-direction preserving strategy, allowing us to add dither noise in the prediction error (PE) domain, while minimizing the incurred distortion. Extensive experimental results are provided to verify the effectiveness of the proposed anti-forensic algorithm for lossy predictive image coding.

KeywordAnti-forensics Lossy Predictive Image Coding
DOI10.1109/LSP.2015.2472561
URLView the original
Indexed BySCIE
WOS Research AreaEngineering
WOS SubjectEngineering, Electrical & Electronic
WOS IDWOS:000360833300002
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Citation statistics
Cited Times [WOS]:6   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Faculty of Science and Technology
Affiliatione Department of Computer and Information Science, University of Macau, Macao
First Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Yuanman Li,Jiantao Zhou. Anti-Forensics of Lossy Predictive Image Compression[J]. IEEE Signal Processing Letters,2015,22(12):2219-2223.
APA Yuanman Li,&Jiantao Zhou.(2015).Anti-Forensics of Lossy Predictive Image Compression.IEEE Signal Processing Letters,22(12),2219-2223.
MLA Yuanman Li,et al."Anti-Forensics of Lossy Predictive Image Compression".IEEE Signal Processing Letters 22.12(2015):2219-2223.
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