Speeding-up SIFT based copy move forgery detection using level set approach

This paper presents an efficient method to detect Copy Move Forgery using SIFT features and the volume of these features is heavily reduced by Chan-Vese´s Level Set approach. Multiple-forged object detection, invariant to scale and rotation, high speed, its simplicity in implementation and robustness are some of this method´s strengths.