Review of Imaging Device Identification Based on Machine Learning

Imaging device recognition is an important research hotspot in image tampering analysis. In recent years, it has received extensive research and rapid development. Image tampering analysis based on imaging devices is an important field in image tampering, and the recognition of imaging devices has also become important. In order to promote the recognition research based on imaging equipment, this paper summarizes and discusses the current main methods and representative work of imaging equipment identification. This article compares the similarities and differences of traditional methods and related deep learning methods, respectively, and details the current The main principles and methods of imaging device recognition based on deep learning are discussed. Finally, the problems that need to be solved for imaging device recognition based on deep learning and the future research trends are discussed.