Source cell-phone identification
Date
2006
Authors
Çeliktutan, Oya
Şankur, Bülent
Ayerden, N. Pola
Çapar, Çağatay
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE
Abstract
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.
Description
Bu çalışma, 16-19 Nisan 2006 tarihleri arasında Antalya[Türkiye]'de düzenlenen 14. Signal Processing and Communications Applications'da bildiri olarak sunulmuştur.
Keywords
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
Citation
Çeliktutan, O. vd. (2006). ''Source cell-phone identification''. 2006 IEEE 14. Signal Processing and Communications Applications Conference.