Digital Image Forensics for Identifying Computer Generated and Digital Camera Images

作者: Sintayehu Dehnie , Taha Sencar , Nasir Memon

DOI: 10.1109/ICIP.2006.312849

关键词:

摘要: We describe a digital image forensics technique to distinguish images captured by camera from computer generated images. Our approach is based on the fact that acquisition in fundamentally different generative algorithms deployed imagery. This difference terms of properties residual (pattern noise case images) extracted wavelet denoising filter. In (Jan Lukas, et al., 2005), it established each has unique pattern associated with itself. addition, our results indicate two type residuals obtained and exhibit some common characteristics not present other can be attributed fundamental differences generation processes yield types are Maya 3D Studio Max software, various

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