The assessment of the practical performance of forensic methods for the detection of resampling operations on digital images is a difficult task requiring a careful experimental analysis. Unfortunately, the experimental analysis reported in multimedia forensics papers is often statistically insufficient, or at least not usable to predict the performance of the proposed systems at scales needed for practical deployment. This paper attempts to move a first step to fill this gap in a twofold way. First of all a proper experimental framework is proposed to analyze the performance of resampling detectors. Then the suggested methodology is applied to evaluate the performance of two of the most significant resampling detectors proposed so far, providing a deeper-than-usual analysis of their behavior under different working conditions.
Uccheddu, F., De Rosa, A., Piva, A., Barni, M. (2010). Detection of resampled images: performance analysis and practical challenges. In Proceedings of EUSIPCO 2010, XVIII European Signal Processing Conference (pp.1675-1679). EUROPEAN ASSOC SIGNAL SPEECH & IMAGE PROCESSING-EURASIP.
Detection of resampled images: performance analysis and practical challenges
Barni, Mauro
2010-01-01
Abstract
The assessment of the practical performance of forensic methods for the detection of resampling operations on digital images is a difficult task requiring a careful experimental analysis. Unfortunately, the experimental analysis reported in multimedia forensics papers is often statistically insufficient, or at least not usable to predict the performance of the proposed systems at scales needed for practical deployment. This paper attempts to move a first step to fill this gap in a twofold way. First of all a proper experimental framework is proposed to analyze the performance of resampling detectors. Then the suggested methodology is applied to evaluate the performance of two of the most significant resampling detectors proposed so far, providing a deeper-than-usual analysis of their behavior under different working conditions.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
https://hdl.handle.net/11365/4618
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