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Recent Advances in Passive Digital Image Security Forensics: A Brief Review 被引量:13

Recent Advances in Passive Digital Image Security Forensics: A Brief Review
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摘要 With the development of sophisticated image editing and manipulation tools, the originality and authen- ticity of a digital image is usually hard to determine visually, In order to detect digital image forgeries, various kinds of digital image forensics techniques have been proposed in the last decade, Compared with active forensics approaches that require embedding additional information, passive forensics approaches are more popular due to their wider application scenario, and have attracted increasing academic and industrial research interests, Generally speaking, passive digital image forensics detects image forgeries based on the fact that there are certain intrinsic patterns in the original image left during image acqui- sition or storage, or specific patterns in image forgeries left during the image storage or editing, By ana- lyzing the above patterns, the originality of an image can he authenticated, In this paper, a brief review on passive digital image forensic methods is presented in order to provide a comprehensive introduction on recent advances in this rapidly developing research area, These forensics approaches are divided into three categories based on the various kinds of traces they can he used to track-that is, traces left in image acquisition, traces left in image storage, and traces left in image editing, For each category, the forensics scenario, the underlying rationale, and state-of-the-art methodologies are elaborated, Moreover, the major limitations of the current image forensics approaches are discussed in order to point out some possible research directions or focuses in these areas,
出处 《Engineering》 2018年第1期29-39,共11页 工程(英文)
基金 The work described in this paper was supported by National Key Research and Development Program of China (2016QY01W0104) and National Natural Science Foundation of China (61771310).
关键词 Digital IMAGE forensicsImage-tampering detectionMultimedia SECURITY Digital image forensicsImage-tampering detectionMultimedia security
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