文章基本信息

标题：Estimating Previous Quantization Factors on Multiple JPEG Compressed Images
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作者：Sebastiano Battiato ; Oliver Giudice ; Francesco Guarnera 等
期刊名称：EURASIP Journal on Information Security
印刷版ISSN：1687-4161
电子版ISSN：1687-417X
出版年度：2021
卷号：2021
期号：1
页码：1
DOI：10.1186/s13635-021-00120-7
出版社：Hindawi Publishing Corporation
摘要：The 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.
关键词：JPEG compression ; Multiple quantization ; Multiple compression ; Quantization estimation ; Image forensics