Corpus ID: 59399567

Rethinking Image Sensor Noise for Forensic Advantage

  title={Rethinking Image Sensor Noise for Forensic Advantage},
  author={Richard Matthews and Matthew Sorell and Nickolas J. G. Falkner},
  journal={arXiv: Image and Video Processing},
Sensor pattern noise has been found to be a reliable tool for providing information relating to the provenance of an image. Conventionally sensor pattern noise is modelled as a mutual interaction of pixel non-uniformity noise and dark current. By using a wavelet denoising filter it is possible to isolate a unique signal within a sensor caused by the way the silicon reacts non-uniformly to light. This signal is often referred to as a fingerprint. To obtain the estimate of this photo response non… Expand
1 Citations
Determining image sensor temperature using dark current
It is hypothesised that DSN is not only a viable method for forensic identification but, through proper analysis of the thermal component, can lead to insights regarding the specific temperature at which an individual image under test was taken. Expand


Digital camera identification from sensor pattern noise
A new method is proposed for the problem of digital camera identification from its images based on the sensor's pattern noise, which serves as a unique identification fingerprint for each camera under investigation by averaging the noise obtained from multiple images using a denoising filter. Expand
Analysis of Sensor Photo Response Non-Uniformity in RAW Images
A modification of the denoising filter, allowing it to be used for raw sensor data, is used for investigating the reliability of the digital camera identification technique when using different lenses between the same camera and between cameras of the same manufacturer. Expand
Pixel area variation in CCDs and implications for precision photometry
This work presents simple analysis techniques to identify how much flat field structure is due to systematic and random variations in pixel area, rather than sensitivity, as a function of row/column direction and spatial frequency. Expand
Photo Forensics
Photographs have been doctored since photography was invented. Dictators have erased people from photographs and from history. Politicians have manipulated photos for short-term political gain.Expand
Source camera identification using footprints from lens aberration
Inspired by the previous work that uses sensor imperfection, the intrinsic lens aberration is proposed to use as features in the classification of images captured by a limited number of camera models. Expand
Large scale test of sensor fingerprint camera identification
This paper presents a large scale test of camera identification from sensor fingerprints using Flickr, an existing on-line image sharing site, to overcome the problem of acquiring a large number of cameras and taking the images, and reveals several interesting new facts about camera fingerprints and their impact on error analysis in practice. Expand
CCD fingerprint method-identification of a video camera from videotaped images
A new "CCD Fingerprint" method to identify a camcorder from videotaped images, which enables individual camera identification, which does not mean camera-model identification. Expand
Source camera identification based on CFA interpolation
This work proposes to identify the source camera of an image based on traces of the proprietary interpolation algorithm deployed by a digital camera using a set of image characteristics defined and then used in conjunction with a support vector machine based multi-class classifier to determine the originating digital camera. Expand
Active pixel sensors: are CCDs dinosaurs?
  • E. Fossum
  • Engineering, Physics
  • Electronic Imaging
  • 1993
Charge-coupled devices (CCDs) are presently the technology of choice for most imaging applications. In the 23 years since their invention in 1970, they have evolved to a sophisticated level ofExpand
CMOS image sensors
In this article, we provide a basic introduction to CMOS image-sensor technology, design and performance limits and present recent developments and future directions in this area. We also discussExpand