Jan Lukas

US Patent:

7787030, Aug 31, 2010

Filed:

Dec 16, 2005

Appl. No.:

11/305611

Inventors:

Jessica Fridrich - Vestal NY, US
Miroslav Goljan - Vestal NY, US
Jan Lukas - Johnson City NY, US

Assignee:

The Research Foundation of State University of New York - Binghamton NY

International Classification:

H04N 5/217

US Classification:

348241

Abstract:

A new technique for identifying from images a camera, or other imaging device such as a scanner, is based on the device's reference noise pattern, a unique stochastic characteristic of all common digital imaging sensors, including CCD, CMOS (Foveon™ X3), and JFET. First, one determines from images the sensor's reference pattern noise, which uniquely identifies each sensor. To identify the sensor from a given image, the presence or absence of the reference pattern noise in the image under examination is established using a correlation detector or other means.

US Patent:

8160293, Apr 17, 2012

Filed:

May 19, 2006

Appl. No.:

11/437187

Inventors:

Jessica Fridrich - Vestal NY, US
Miroslav Goljan - Vestal NY, US
Jan Lukas - Johnson City NY, US

Assignee:

The Research Foundation of State University of New York - Binghamton NY

International Classification:

G06K 9/00
G06F 11/30

US Classification:

382100, 713194

Abstract:

Apparatus and method to verify the integrity of a digital image (i. e. , deciding whether or not the entire image or just a portion has been tampered with, and/or finding the doctored area in the image). One first determines the imaging sensor's reference pattern noise, which serves as a unique fingerprint that identifies the imaging sensor that captured the image. To verify the integrity of the content in a region of the image, a correlation detector determines the presence or absence of the imaging sensor's reference pattern noise in that region, thereby verifying whether or not the image has integrity. The correlation detector can also find automatically one or more regions in the image that were tampered with. In another embodiment, one determines the pattern noise of only the image in question and tests that noise to determine whether or not the image has integrity.

US Patent:

20090154809, Jun 18, 2009

Filed:

May 19, 2006

Appl. No.:

11/437176

Inventors:

Jessica Fridrich - Vestal NY, US
Miroslay Goljan - Vestal NY, US
Jan Lukas - Johnson City NY, US

International Classification:

G06K 9/00

US Classification:

382181

Abstract:

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.

US Patent:

20120230536, Sep 13, 2012

Filed:

Apr 16, 2012

Appl. No.:

13/447648

Inventors:

Jessica Fridrich - Vestal NY, US
Miroslav Goljan - Vestal NY, US
Jan Lukas - Johnson City NY, US

Assignee:

The Research Foundation of State University of New York - Binghamton NY

International Classification:

G06K 9/00

US Classification:

382100

Abstract:

Apparatus and method to verify the integrity of a digital image (i.e., deciding whether or not the entire image or just a portion has been tampered with, and/or finding the doctored area in the image). One first determines the imaging sensor's reference pattern noise, which serves as a unique fingerprint that identifies the imaging sensor that captured the image. To verify the integrity of the content in a region of the image, a correlation detector determines the presence or absence of the imaging sensor's reference pattern noise in that region, thereby verifying whether or not the image has integrity. The correlation detector can also find automatically one or more regions in the image that were tampered with.