Estimating Previous Quantization Factors on Multiple JPEG Compressed Images

EURASIP Journal on Information Security - Tập 2021 Số 1 - 2021
Sebastiano Battiato1, Oliver Giudice1, Francesco Guarnera2, Giovanni Puglisi3
1University of Catania, Catania, Italy
2iCTLab s.r.l., Spin-off of University of Catania, Catania, Italy
3University of Cagliari, Cagliari, Italy

Tóm tắt

AbstractThe JPEG compression algorithm has proven to be efficient in saving storage and preserving image quality thus becoming extremely popular. On the other hand, the overall process leaves traces into encoded signals which are typically exploited for forensic purposes: for instance, the compression parameters of the acquisition device (or editing software) could be inferred. To this aim, in this paper a novel technique to estimate “previous” JPEG quantization factors on images compressed multiple times, in the aligned case by analyzing statistical traces hidden on Discrete Cosine Transform (DCT) histograms is exploited. Experimental results on double, triple and quadruple compressed images, demonstrate the effectiveness of the proposed technique while unveiling further interesting insights.

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EURASIP Journal on Information Security

Tập 2021 Số 1

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