Patent №
US 7,616,237
Granted
2009-11-10
Filed 2006
Owner
THE RESEARCH FOUNDATION OF STATE UNIVERSITY OF NEW YORK
Lab
—
AI components
1
vision
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
11437176
A new technique for identifying whether images are derived from a common imager, e.g., a camera, or other imaging device such as a scanner, based on the device's measured or inferred reference noise pattern, a unique stochastic characteristic of all common digital imaging sensors, including CCD, CMOS (Foveon™ X3), and JFET. The measured or inferred noise pattern of two images may be extracted and then cross correlated, with a high correlation being consistent with a common imager. Various preprocessing techniques may be used to improve tolerance to various types of image transform. It is also possible to perform the analysis without explicit separation of inferred image and inferred noise.
AI classification
Ownership
THE RESEARCH FOUNDATION OF STATE UNIVERSITY OF NEW YORK
assignment · 177110638
Assignors
FRIDRICH, JESSICA, GOLJAN, MIROSLAV, LUKAS, JAN
On an employer assignment, the assignors are typically the inventors.