Title :
Spectral methods to determine the exact scaling factor of resampled digital images
Author :
Pfennig, Stefan ; Kirchner, Matthias
Author_Institution :
Fac. of Comput. Sci., Tech. Univ. Dresden, Dresden, Germany
Abstract :
This paper combines analytical models of periodic interpolation artifacts with recent empirical findings on the spectral energy distribution of rescaled images to infer exact transformation parameters in a passive-blind forensic setting. We present a measure to solve a long-known ambiguity between upscaling and downscaling in the forensic analysis of resampled signals and thus substantially limit the range of candidate scaling factors. The effectiveness of our method is backed with empirical evidence on a large set of images and scaling factors.
Keywords :
forensic science; image sampling; interpolation; forensic analysis; passive-blind forensic setting; periodic interpolation; resampled digital images; rescaled images; scaling factor; spectral energy distribution; Accuracy; Forensics; Frequency domain analysis; Image coding; Interpolation; Support vector machines; Transform coding; digital image forensics; resampling detection; scaling factor; transformation parameter;
Conference_Titel :
Communications Control and Signal Processing (ISCCSP), 2012 5th International Symposium on
Conference_Location :
Rome
Print_ISBN :
978-1-4673-0274-6
DOI :
10.1109/ISCCSP.2012.6217855