An automatic JPEG ghost detection approach for digital image forensics
Sepideh Azarianpour, Massoud Babaie‐Zadeh, Amir Reza Sadri · 2016
In this paper we propose a new automatic method for discriminating original and tampered images based on “JPEG ghost detection” method, which is a subset of format-based image forensics approaches. The inconsistency of quality factors indicates that the photo is a composite one created from at least two different cameras and therefore it is a manipulated photo. Our classification algorithm first extracts the ghost border. Then the image is classified as original or tampered groups by thresholding a distance in feature space.