IEEE Trans Image Process - Blind detection of median filtering in digital images: a difference domain based approach.

Tópicos

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Resumo

Recently, the median filtering (MF) detector as a forensic tool for the recovery of images' processing history has attracted wide interest. This paper presents a novel method for the blind detection of MF in digital images. Following some strongly indicative analyses in the difference domain of images, we introduce two new feature sets that allow us to distinguish a median-filtered image from an untouched image or average-filtered one. The effectiveness of the proposed features is verified with evidence from exhaustive experiments on a large composite image database. Compared with prior arts, the proposed method achieves significant performance improvement in the case of low resolution and strong JPEG post-compression. In addition, it is demonstrated that our method is more robust against additive noise than other existing MF detectors. With analyses and extensive experimental researches presented in this paper, we hope that the proposed method will add a new tool to the arsenal of forensic analysts.

Resumo Limpo

recent median filter mf detector forens tool recoveri imag process histori attract wide interest paper present novel method blind detect mf digit imag follow strong indic analys differ domain imag introduc two new featur set allow us distinguish medianfilt imag untouch imag averagefilt one effect propos featur verifi evid exhaust experi larg composit imag databas compar prior art propos method achiev signific perform improv case low resolut strong jpeg postcompress addit demonstr method robust addit nois exist mf detector analys extens experiment research present paper hope propos method will add new tool arsenal forens analyst

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