Radiometric CCD camera calibration and noise estimation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital Watermarking and Steganography
Digital Watermarking and Steganography
Digital camera identification from sensor pattern noise
IEEE Transactions on Information Forensics and Security
Digital Single Lens Reflex Camera Identification From Traces of Sensor Dust
IEEE Transactions on Information Forensics and Security
Determining Image Origin and Integrity Using Sensor Noise
IEEE Transactions on Information Forensics and Security
Nonintrusive Component Forensics of Visual Sensors Using Output Images
IEEE Transactions on Information Forensics and Security
Classification of digital camera-models based on demosaicing artifacts
Digital Investigation: The International Journal of Digital Forensics & Incident Response
Steganalysis using image quality metrics
IEEE Transactions on Image Processing
Computer Standards & Interfaces
Hi-index | 0.00 |
Digital forensics has lately become one of the very important applications to identify the characteristics and the originality of the digital devices. This study has focused on analyzing the relationship between digital cameras and the images. In conjunction with image processing techniques and data exploration methods, it calculates the characteristic values of the images taken by different cameras. Training and categorization are conducted through the support vector machines for identifying the camera source of the images. Based on the fact that the internal imaging algorithms of a camera are different from one manufacturer to another, this method computes the hidden characteristics of the images. The result of experiments shows the proposed approach can obtains 94.95% identification rate when images are taken from 20 different cameras.