Abstract
In an earlier work [4], we proposed a technique for identifying digital camera models based on trace evidence left by their proprietary interpolation algorithms. This work improves on our previous approach by incorporating methods to better detect interpolation artifacts in smooth image parts. To identify the source camera model of a digital image, new features that can detect traces of low-order interpolation are introduced and used in conjunction with a support vector machine based multi-class classifier. Experimental results are presented for source camera identification from among multiple digital camera models.
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© 2006 IFIP Internatonal Federation for Information Processing
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Bayram, S., Sencar, H., Memon, N. (2006). Identifying Digital Cameras Using CFA Interpolation. In: Olivier, M.S., Shenoi, S. (eds) Advances in Digital Forensics II. DigitalForensics 2006. IFIP Advances in Information and Communication, vol 222. Springer, Boston, MA. https://doi.org/10.1007/0-387-36891-4_23
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DOI: https://doi.org/10.1007/0-387-36891-4_23
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