Comparative Evolution of Digital Image Forgery Detection: From Residual-Saliency Processing to Variational Attention Learning
Digital image forgery detection has progressively shifted from artifact preservation and suspicious-region segmentation toward richer feature learning and uncertainty-aware decision making. This article presents a comparative analysis of two sequential research frameworks developed for image forgery analysis. The first...