Digital Image Forgery Detection by Local Statistical Models

Conference Paper (international conference)

Grim Jiří, Somol Petr, Pudil Pavel

serial: 2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing , Eds: Echizen Isao, Pan Jeng-Shyang, Fellner Dieter, Nouak Alexander, Kuijper Arjan, Jain Lakhmi C.

action: 6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2010), (Darmstadt, DE, 15.10.2010-17.10.2010)

research: CEZ:AV0Z10750506

project(s): 2C06019, GA MŠk, 1M0572, GA MŠk, GA102/08/0593, GA ČR, GA102/07/1594, GA ČR

keywords: forgery detection, local statistical models, distribution mixtures, EM algorithm

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abstract (eng):

We propose an application of local statistical models in the form of a locally estimated Gaussian mixture to image forgery detection. The estimated mixture is used to compute the so called log-likelihood transformation of the original image. We show that image manipulations of different type may be visible in a suitably designed log-likelihood image. Unlike other methods the forgery detection based on local statistical model is rather non-specific and suitable to emphasize various traces of possible image tampering without any prior information.

RIV: IN