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SDCN2: A Shallow Densely connected CNN for multi-purpose image manipulation detection
2022
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
The digital image information can be easily tampered to harm the integrity of someone. Thus, recognizing the truthfulness and processing history of an image is one of the essential concerns in multimedia forensics. Numerous forensic methods have been developed by researchers with the ability to detect targeted editing operations. But, creating a unified forensic approach capable of detecting multiple image manipulations is still a challenging problem. In this paper, a new general-purpose
doi:10.1145/3510462
fatcat:7nlndu7wcfaell2pc2gopkutve