Learning Compressed Artifact for JPEG Manipulation Localization Using Wide-Receptive-Field Network
Fengyong Li,
Huajun Zhai,
Teng Liu
et al.
Abstract:JPEG image manipulation localization aims to accurately classify and locate tampered regions in JPEG images. Existing image manipulation localization schemes usually consider diverse data streams of spatial domain, e.g. noise inconsistency and local content inconsistency. They, however, easily ignore an objective scenario: data stream features of spatial domain are hard to directly apply to compressed image format, e.g., JPEG, because tampered JPEG images may contain severe re-compression inconsistency and re-… Show more
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