Source Camera Identification Based on Sensor Readout Noise

Source Camera Identification Based on Sensor Readout Noise

H. R. Chennamma (University of Mysore, India) and Lalitha Rangarajan (University of Mysore, India)
Copyright: © 2010 |Pages: 15
DOI: 10.4018/jdcf.2010070103

Abstract

A digitally developed image is a viewable image (TIFF/JPG) produced by a camera’s sensor data (raw image) using computer software tools. Such images might use different colour space, demosaicing algorithms or by different post processing parameter settings which are not the one coded in the source camera. In this regard, the most reliable method of source camera identification is linking the given image with the sensor of camera. In this paper, the authors propose a novel approach for camera identification based on sensor’s readout noise. Readout noise is an important intrinsic characteristic of a digital imaging sensor (CCD or CMOS) and it cannot be removed. This paper quantitatively measures readout noise of the sensor from an image using the mean-standard deviation plot, while in order to evaluate the performance of the proposed approach, the authors tested against the images captured at two different exposure levels. Results show datasets containing 1200 images acquired from six different cameras of three different brands. The success of proposed method is corroborated through experiments.
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A decade of research in identifying source camera of digital images, researchers mostly concentrated to link the given image with its device, based on sensor imperfections, CFA interpolation, JPEG quantization (Sorell, 2008) and lens aberration (Choi, 2006).

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