An interesting problem in digital forensics is that given a digital image, would it be possible
to identify the camera model which was used to obtain the image. In this paper we look at a
simplified version of this problem by trying to distinguish between images captured by a …

In this work, we focus our interest on blind source camera identification problem by
extending our results in the direction of M. Kharrazi et al.(2004). The interpolation in the
color surface of an image due to the use of a color filter array (CFA) forms the basis of the …

Sensor pattern noises (SPNs), extracted from digital images to serve as the fingerprints of
imaging devices, have been proved as an effective way for digital device identification.
However, as we demonstrate in this work, the limitation of the current method of extracting …

Source camera identification is the process of discerning which camera has been used to
capture a particular image. In this paper, we consider the more fundamental problem of
trying to classify images captured by a limited number of camera models. Inspired by the …

Sensor pattern noise (SPN) extracted from digital images has been proved to be a unique
fingerprint of digital cameras. However, SPN can be contaminated largely in the frequency
domain by image content and nonunique artefacts of JPEG compression, on-sensor signal …

We represent the spatially periodic inter-pixel correlation due to color filter array
interpolation in a quadratic form. Based on this, a coefficient matrix is obtained for each color
channel, whose principal components are extracted and fed to feed-forward back …

A problem associated with digital single lens (DSLR) cameras is sensor dust. This problem
arises due to dust particles attracted to the sensor, when the interchangeable lens is
removed, creating a dust pattern in front of the imaging sensor. Sensor dust patterns reveals …

In a novel method for identifying the source camera of a digital image is proposed. The
method is based on first extracting imaging sensor's pattern noise from many images and
later verifying its presence in a given image through a correlative procedure. In this paper …

Source camera identification refers to the task of matching digital images with the cameras
that are responsible for producing these images. This is an important task in image
forensics, which in turn is a critical procedure in law enforcement. Unfortunately, few digital …

Source camera identification enables forensic investigator to discover the probable source
model that are employed to acquire the image under investigation. It is important whenever
digital content is presented as a silent witness. In this paper, we present a source camera  …