A multi-branch hierarchical framework for counterfeit image manipulation localization using noise and frequency features
Experimental evaluations on benchmark forensic datasets demonstrate that the proposed framework achieves competitive detection performance and robustness across most datasets, attaining an AUC of up to 0.998 on NIST16, while highlighting specific failure modes on challenging cases such as COVERAGE.