An optimized dual-stream CNN with vectorized RGB–ELA inputs and CBAM attention for image forgery detection
This work introduces a novel architecture by employing RGB and ELA of an image as a parallel stream of input for the two encoders (a lightweight neural network), primarily designed for localizing image manipulations that introduce compression inconsistencies, particularly image splicing and retouching.