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Source cell-phone identification

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Tarih

Akademik Birimler

Kurum Yazarları

Avcıbaş, İsmail

Yazarlar

Çeliktutan, Oya
Şankur, Bülent
Ayerden, N. Pola
Çapar, Çağatay

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IEEE

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Özet

In this paper, we focus on blind source cell-phone identification problem. The main idea is that proprietary interpolation algorithm (involved due to the structure of color filter array [CFA]) leaves footprints in the form of correlations across adjacent bit planes of images. For this purpose, we explore a set of binary similarity measures, image quality measures and higher order wavelet statistics in conjunction with KNN and SVM classifiers to identify the originating cell-phone. We provide identification results among 9 different brand cell-phone cameras.

Açıklama

Bu çalışma, 16-19 Nisan 2006 tarihleri arasında Antalya[Türkiye]'de düzenlenen 14. Signal Processing and Communications Applications'da bildiri olarak sunulmuştur.

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Konusu

Engineering, Computer science, Imaging science & photographic technology, Support vector machines, Problem solving, Interpolation, Image quality, Cameras, Blind source separation, Interpolation algorithms, Color filter array, Cell-phone cameras, Mobile phones

Alıntı

Çeliktutan, O. vd. (2006). ''Source cell-phone identification''. 2006 IEEE 14. Signal Processing and Communications Applications Conference.

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