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Derivation of the Asymptotic Eigenvalue Distribution for Causal 2D-AR Models under Upscaling
This technical report describes the derivation of the asymptotic eigenvalue
distribution for causal 2D-AR models under an upscaling scenario. Specifically,
it tackles the analytical derivation of the asymptotic eigenvalue distribution
of the sample autocorrelation matrix corresponding to genuine and upscaled
images. It also includes the pseudocode of the derived approaches for
resampling detection and resampling factor estimation that are based on this
analysis.Comment: This technical report complements the work by David
V\'azquez-Pad\'in, Fernando P\'erez-Gonz\'alez, and Pedro Comesa\~na-Alfaro,
"A random matrix approach to the forensic analysis of upscaled images,"
submitted to IEEE Transactions on Information Forensics and Securit