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http://hdl.handle.net/11452/24324| Title: | Source cell-phone identification |
| Authors: | Çeliktutan, Oya Şankur, Bülent Ayerden, N. Pola Çapar, Çağatay Uludağ Üniversitesi/Mühendislik Mimarlık Fakültesi/Elektronik Mühendisliği Bölümü. Avcıbaş, İsmail H-9089-2018 6602339258 |
| 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 |
| Issue Date: | 2006 |
| Publisher: | IEEE |
| Citation: | Çeliktutan, O. vd. (2006). ''Source cell-phone identification''. 2006 IEEE 14. Signal Processing and Communications Applications Conference. |
| 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. |
| URI: | https://doi.org/10.1109/SIU.2006.1659882 http://hdl.handle.net/11452/24324 |
| ISBN: | 978-1-4244-0238-0 |
| Appears in Collections: | Scopus Web of Science |
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