پديدآورندگان :
Azarian-Pour Sepideh sepide.azarian@gmail.com Electrical Engineering Department Sharif University of Technology Tehran, 14588-89694, Iran , Babaie-zadeh Massoud mbzadeh@sharif.edu Electrical Engineering Department Sharif University of Technology Tehran, 14588-89694, Iran , Sadri Amir Reza ar.sadri@ec.iut.ac.ir Electrical Engineering Department Isfahan University of Technology Isfahan, 84156-83111, Iran
چكيده فارسي :
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.
