Abstract. In this paper, we describe a new forensic tool for revealing digitally altered images by detecting the presence of photo-response non-uniformity noise (PRNU) in small regions. This method assumes that either the camera that took the image is available to the analyst or at least some other nontampered images taken by the camera are available. Forgery detection using the PRNU involves two steps – estimation of the PRNU from non-tampered images and its detection in individual image regions. From a simplified model of the sensor output, we design optimal PRNU estimators and detectors. Binary hypothesis testing is used to determine which regions are forged. The method is tested on forged images coming from a variety of digital cameras ...
Forensic characterization of sensors or devices is important in many applications such as establishi...
A lot of photographers and human rights advocates need to hide their identity while sharing their im...
In the last few years, forensic researchers have developed a wide set of techniques to blindly attri...
In this paper we propose a non-blind passive technique for image forgery detection. Our technique is...
We present a new approach to detection of forgeries in digital images under the assumption that eith...
Graphics editing programs of the last generation provide ever more powerful tools, which allow for t...
To detect some image forgeries one can rely on the Photo-Response Non-Uniformity (PRNU), a determini...
Nowadays, millions of pictures are shared through the internet without applying any authentication s...
Recent years saw an explosion in the number of the counterfeit or stolen images in scientific papers...
Photo-response non-uniformity (PRNU) noise has been well established as a reliable fingerprint of im...
Source-camera identification tools assist image forensics investigators to associate an image with a...
International audienceA complex processing chain is applied from the moment a raw image is acquired ...
On the World Wide Web, a large amount of image content is distributed, owing to the rapid progress i...
When photos and videos are increasingly used as evidence material, it is of importance to know if th...
Forensic characterization of sensors or devices is important in many applications such as establishi...
A lot of photographers and human rights advocates need to hide their identity while sharing their im...
In the last few years, forensic researchers have developed a wide set of techniques to blindly attri...
In this paper we propose a non-blind passive technique for image forgery detection. Our technique is...
We present a new approach to detection of forgeries in digital images under the assumption that eith...
Graphics editing programs of the last generation provide ever more powerful tools, which allow for t...
To detect some image forgeries one can rely on the Photo-Response Non-Uniformity (PRNU), a determini...
Nowadays, millions of pictures are shared through the internet without applying any authentication s...
Recent years saw an explosion in the number of the counterfeit or stolen images in scientific papers...
Photo-response non-uniformity (PRNU) noise has been well established as a reliable fingerprint of im...
Source-camera identification tools assist image forensics investigators to associate an image with a...
International audienceA complex processing chain is applied from the moment a raw image is acquired ...
On the World Wide Web, a large amount of image content is distributed, owing to the rapid progress i...
When photos and videos are increasingly used as evidence material, it is of importance to know if th...
Forensic characterization of sensors or devices is important in many applications such as establishi...
A lot of photographers and human rights advocates need to hide their identity while sharing their im...
In the last few years, forensic researchers have developed a wide set of techniques to blindly attri...