Source camera identification based on CFA interpolation

In this work, we focus our interest on blind source camera identification problem by extending our results in the direction of [1]. 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.

• Type: Conference
• Year: 2005
• Where: ICIP
• Authors: Sevinc Bayram, Husrev T. Sencar, Nasir D. Memon, Ismail Avcibas
• Keywords: Digital Cameras, ICIP 2005, Image Processing, Source Camera, Source Camera Identification