In this paper, we provide a unified framework for identifying the source digital camera from
its images and for revealing digitally altered images using photo-response nonuniformity …

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 …

The article explains how photo-response nonuniformity (PRNU) of imaging sensors can be
used for a variety of important digital forensic tasks, such as device identification, device …

In this paper, we extend our camera identification technology based on sensor noise to a
more general setting when the image under investigation has been simultaneously cropped …

Sensor photo-response non-uniformity (PRNU) was introduced by Lukáš et al.[1] to solve the
problem of digital camera sensor identification. The PRNU is the main component of a …

Photo-response non-uniformity noise present in output signals of CCD and CMOS sensors
has been used as fingerprint to uniquely identify the source digital camera that took the …

Source camera identification is still a hard task in forensics community, especially for the
case of the query images with small size. In this paper, we propose a solution to identify the …

Just as human fingerprints or skin blemishes can be used for forensic purposes,
imperfections of digital imaging sensors can serve as unique identifiers in numerous …

State-of-the-art digital forensic techniques for camera model identification draw attention on
different sets of features to assign an image to the employed source model. This paper …

Sensor pattern noise (SPN) has been widely used in source camera identification. However,
the SPN extracted from natural image may be contaminated by its content and eventually …