Detection of JPEG double compression and identification of smartphone image source and post-capture manipulation

作者：Qingzhong Liu, Peter A. Cooper, Lei Chen, Hyuk Cho, Zhongxue Chen, Mengyu Qiao, Yuting Su, Mingzhen Wei, Andrew H. Sung

摘要

Digital multimedia forensics is an emerging field that has important applications in law enforcement and protection of public safety and national security. In digital imaging, JPEG is the most popular lossy compression standard and JPEG images are ubiquitous. Today’s digital techniques make it easy to tamper JPEG images without leaving any visible clues. Furthermore, most image tampering involves JPEG double compression, it heightens the need for accurate analysis of JPEG double compression in image forensics.

论文关键词：Image forensics, JPEG double compression, Image complexity, Smartphone identification, Classification, Hierarchical clustering, Support vector machine, Source, Marginal density, Neighboring joint density

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论文官网地址：https://doi.org/10.1007/s10489-013-0430-z