Spatially adaptive color filter array interpolation for noiseless and noisy data: Articles
International Journal of Imaging Systems and Technology - Special Issue on Applied Color Image Processing
Self-similarity driven color demosaicking
IEEE Transactions on Image Processing
Accurate detection of demosaicing regularity for digital image forensics
IEEE Transactions on Information Forensics and Security - Special issue on electronic voting
IEEE Spectrum
Exposing digital forgeries in color filter array interpolated images
IEEE Transactions on Signal Processing - Part II
Nonintrusive Component Forensics of Visual Sensors Using Output Images
IEEE Transactions on Information Forensics and Security
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
Anti-forensics of digital image compression
IEEE Transactions on Information Forensics and Security - Part 2
How secure are power network signature based time stamps?
Proceedings of the 2012 ACM conference on Computer and communications security
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Color interpolation identification using digital images has been shown to be a powerful tool for addressing a range of digital forensic questions. However, due to the existence of adversaries who have the incentive to counter the identification, it is necessary to understand how color interpolation identification performs against anti-forensic operations that intentionally manipulate identification results. This paper proposes two anti-forensic techniques against which the robustness of color interpolation identification is investigated. The first technique employs parameter perturbation to circumvent identification. Various options that achieve different trade-offs between image quality and identification manipulation are examined. The second technique involves algorithm mixing and demonstrates that one can not only circumvent but also mislead the identification system while preserving the image quality. Additional discussions are also provided to enhance the understanding of anti-forensics and its implications to the design of identification systems.