Source identification for mobile devices, based on wavelet transforms combined with sensor imperfections. (English) Zbl 1305.65099
Summary: One of the most relevant applications of digital image forensics is to accurately identify the device used for taking a given set of images, a problem called source identification. This paper studies recent developments in the field and proposes the mixture of two techniques (Sensor Imperfections and Wavelet Transforms) to get better source identification of images generated with mobile devices. Our results show that Sensor Imperfections and Wavelet Transforms can jointly serve as good forensic features to help trace the source camera of images produced by mobile phones. Furthermore, the model proposed here can also determine with high precision both the brand and model of the device.
MSC:
| 65D18 | Numerical aspects of computer graphics, image analysis, and computational geometry |
| 65T60 | Numerical methods for wavelets |
| 94A08 | Image processing (compression, reconstruction, etc.) in information and communication theory |
Keywords:
image forensics; source model identification; classification; wavelet; sensor imperfection; support vector machines (SVMs)Software:
LIBSVMReferences:
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