Yayın: Identifying digital cameras using CFA interpolation
Tarih
Kurum Yazarları
Bayram, Sevinç
Yazarlar
Sencar, Hüsrev
Memon, Nasir
Danışman
Dil
Türü
Yayıncı:
Springer
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Özet
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 multiclass classifier. Experimental results are presented for source camera identification from among multiple digital camera models.
Açıklama
Bu çalışma, 29 Ocak-1 Şubat 2006 tarihleri arasında Orlando[ABD]'de düzenlenen 2. International Conference on Digital Forensics'de bildiri olarak sunulmuştur.
Kaynak:
Anahtar Kelimeler:
Konusu
Computer science, Interpolation, Image forensics, Digital cameras, Color filter arrays, Wave filters, Video cameras, Interpolation, Electronic crime countermeasures, Digital cameras, Computer crime, Color image processing, Trace evidences, Multi-class classifier, Interpolation algorithms, Image forensics, Digital image, CFA interpolation, Camera model, Cameras
Alıntı
Bayram, S. vd. (2006). ''Identifying digital cameras using CFA interpolation''. ed. M S Olivier ve S Shenoi. Advances in Digital Forensics II, Series International Federation for Information Processing, 222, 289-299.