Title :
Source Cell-phone Identification
Author :
Celiktutan; Avcibas; Sankur; Ayerden; Capar
fDate :
6/28/1905 12:00:00 AM
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
Keywords :
"Influenza","Filters","Histograms","Interpolation","Lenses","Image quality","Higher order statistics","Support vector machines","Support vector machine classification","Cameras"
Conference_Titel :
Signal Processing and Communications Applications, 2006 IEEE 14th
Print_ISBN :
1-4244-0238-7
DOI :
10.1109/SIU.2006.1659882