TECHNIQUES FOR SOURCE CAMERA IDENTIFICATION
Ana Lucila, Sandoval Orozco, Jocelin Rosales Corripio, David Manuel Arenas, Luis Javier, García Villalba, Júlio César, Hernández Castro · 2013
Digital image forensics has lately become one of the very important applications to identify the characteristics and the originality of the digital devices. This paper studies the recent developments in the field of image source identification. Proposed techniques in the literature are categorized into five primary areas based on source model identification: Metadata, Image Features, CFA and Demosaicing Artifacts, Lens Distortions and Wavelet Transforms. The main idea of the proposed approaches in each category is described in detail, and reported results are discussed to evaluate the potential of the methods.