Source camera identification based on CFA interpolation

Please use this identifier to cite or link to this item: http://hdl.handle.net/11452/20713

Title:	Source camera identification based on CFA interpolation
Authors:	Sencar, Hüsrev Taha Memon, Nasir Uludağ Üniversitesi/Mühendislik Fakültesi/Elektrik ve Bilgisayar Mühendisliği Bölümü. Bayram, Sevinç Avcıbaş, İsmail H-9089-2018
Keywords:	Cameras Image colour analysis Optical filters Support vector machines Blind source camera identification Multiclass classifier Color filter array interpolation Digital camera Support vector machine
Issue Date:	11-Sep-2005
Publisher:	IEEE
Citation:	Bayram, S. vd. (2005). "Source camera identification based on CFA interpolation". 2005 International Conference on Image Processing (ICIP), 2793-2796.
Abstract:	In this work, we focus our interest on blind source camera identification problem by extending our results in the direction of. The interpolation in the color surface of an image due to the use of a color filter array (CFA) forms the basis of the paper. We propose to identify the source camera of an image based on traces of the proprietary interpolation algorithm deployed by a digital camera. For this purpose, a set of image characteristics are defined and then used in conjunction with a support vector machine based multi-class classifier to determine the originating digital camera. We also provide initial results on identifying source among two and three digital cameras.
URI:	https://doi.org/10.1109/ICIP.2005.1530330 http://hdl.handle.net/11452/20713
ISSN:	1522-4880
Appears in Collections:	Web of Science

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