Jessica J Fridrich

age ~60

from Vestal, NY

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Also known as:

Jiri Fridrich
Jerri Fridrich

Phone and address:: 4625 Salem Dr, Vestal, NY 13850
607-797-4660

Connected to:

Jessica Fridrich Phones & Addresses

4625 Salem Dr, Vestal, NY 13850 • 607-797-4660
167 Floral Ave #2, Johnson City, NY 13790 • 607-777-1480
55 Roberts St, Johnson City, NY 13790 • 607-797-4660
261 Ackley Ave #R, Johnson City, NY 13790 • 607-797-4660

Work

Position:

Professional/Technical

Education

Degree:

Associate degree or higher

Emails

j***[email protected]

Amazon

Digital Watermarking and Steganography, 2nd Ed. (The Morgan Kaufmann Series in Multimedia Information and Systems)

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Digital audio, video, images, and documents are flying through cyberspace to their respective owners. Unfortunately, along the way, individuals may choose to intervene and take this content for themselves. Digital watermarking and steganography technology greatly reduces the instances of this by lim...

Author
Ingemar Cox, Matthew Miller, Jeffrey Bloom, Jessica Fridrich, Ton Kalker

Binding
Hardcover

Pages
624

Publisher
Morgan Kaufmann

ISBN #
0123725852

EAN Code
9780123725851

ISBN #
1

Steganography in Digital Media: Principles, Algorithms, and Applications 1st Edition by Fridrich, Jessica published by Cambridge University Press

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Binding
Paperback

Publisher
Cambridge University Press

ISBN #
9

Steganography in Digital Media: Principles, Algorithms, and Applications 1st (first) Edition by Fridrich, Jessica published by Cambridge University Press (2009)

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Binding
Hardcover

Publisher
Cambridge University Press

ISBN #
8

Steganography in Digital Media: Principles, Algorithms, and Applications by Fridrich, Jessica (2009) Hardcover

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Author
Jessica Fridrich

Binding
Hardcover

Publisher
Cambridge University Press

ISBN #
7

[(Steganography in Digital Media: Principles, Algorithms, and Applications )] [Author: Jessica Fridrich] [Dec-2009]

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Author
Jessica Fridrich

Binding
Hardcover

Publisher
CAMBRIDGE UNIVERSITY PRESS

ISBN #
6

[(Information Hiding: 6th International Workshop, Ih 2004, Toronto, Canada, May 23-25, 2004, Revised Selected Papers )] [Author: Jessica Fridrich] [Feb-2005]

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Author
Jessica Fridrich

Binding
Paperback

Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. K

ISBN #
5

By Jessica Fridrich - Steganography in Digital Media: Principles, Algorithms, and Applications

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Author
Jessica Fridrich

Binding
Hardcover

Publisher
Cambridge University Press

ISBN #
3

Information Hiding: 6th International Workshop, IH 2004, Toronto, Canada, May 23-25, 2004, Revised Selected Papers (Lecture Notes in Computer Science)

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It is an honor and great pleasure to write a preface for this postproceedings of the 6th International Workshop on Information Hiding. In the past 10 years, the field of data hiding has been maturing and expanding, gradually establishing its place as an active interdisciplinary research area uniquel...

Binding
Paperback

Pages
371

Publisher
Springer

ISBN #
3540242074

EAN Code
9783540242079

ISBN #
4

Wikipedia References

Jessica Fridrich

Wikipedia

Jessica Fridrich

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Jessica Fridrich is the inventor of the most commonly-used method for speed-solving the Rubik's Cube, better known as speedcubing. This method describes solving the cube in a ...

Isbn (Books And Publications)

Information Hiding: 6th International Workshop, Ih 2004, Toronto, Canada, May 23-25, 2004, Revised Selected Papers

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Author
Jessica Fridrich

ISBN #
3540242074

Us Patents

Lossless Embedding Of Data In Digital Objects
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US Patent:

7006656, Feb 28, 2006
Filed:

Oct 15, 2001
Appl. No.:

09/977443
Inventors:

Jessica Fridrich - Vestal NY, US
Miroslav Goljan - Johnson City NY, US
Rui Du - Johnson City NY, US
Assignee:

The Research Foundation of SUNY - Syracuse NY
International Classification:

G06K 9/00
G06K 9/36
G06K 9/48
H04L 9/00
US Classification:

382100, 382166, 382244, 713176
Abstract:

Current methods of embedding hidden data in an image inevitably distort the original image by noise. This distortion cannot generally be removed completely because of quantization, bit-replacement, or truncation at the grayscales 0 and 255. The distortion, though often small, may make the original image unacceptable for medical applications, or for military and law enforcement applications where an image must be inspected under unusual viewing conditions (e. g. , after filtering or extreme zoom). The present invention provides high-capacity embedding of data that is lossless (or distortion-free) because, after embedded information is extracted from a cover image, we revert to an exact copy of the original image before the embedding took place. This new technique is a powerful tool for a variety of tasks, including lossless robust watermarking, lossless authentication with fragile watermarks, and steganalysis. The technique is applicable to raw, uncompressed formats (e. g.

Lossless Embedding Of Data In Digital Objects
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US Patent:

7239717, Jul 3, 2007
Filed:

Dec 2, 2005
Appl. No.:

11/292740
Inventors:

Jessica Fridrich - Vestal NY, US
Miroslav Goljan - Johnson City NY, US
Rui Du - Johnson City NY, US
Assignee:

The Research Foundation of SUNY - Syracuse NY
International Classification:

G06K 9/00
G06K 9/46
US Classification:

382100, 382190, 382244, 713176
Abstract:

Current methods of embedding hidden data in an image inevitably distort the original image by noise. This distortion cannot generally be removed completely because of quantization, bit-replacement, or truncation at the grayscales 0 and 255. The distortion, though often small, may make the original image unacceptable for medical applications, or for military and law enforcement applications where an image must be inspected under unusual viewing conditions (e. g. , after filtering or extreme zoom). The present invention provides high-capacity embedding of data that is lossless (or distortion-free) because, after embedded information is extracted from a cover image, we revert to an exact copy of the original image before the embedding took place. This new technique is a powerful tool for a variety of tasks, including lossless robust watermarking, lossless authentication with fragile watermarks, and steganalysis. The technique is applicable to raw, uncompressed formats (e. g.

Reliable Detection Of Lsb Steganography In Color And Grayscale Images
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US Patent:

RE40477, Sep 2, 2008
Filed:

Dec 14, 2006
Appl. No.:

11/639355
Inventors:

Jessica Fridrich - Vestal NY, US
Miroslav Goljan - Vestal NY, US
Assignee:

The Research Foundation of SUNY - Binghamton NY
International Classification:

G06K 9/00
US Classification:

382100
Abstract:

A system and method that efficiently, accurately, and simply detect reliably least-significant-bit (“LSB”) embedding of a secret message in randomly scattered pixels. The system and method apply to both 24-bit color images and 8-bit grayscale or color images. Many commercial steganographic programs use Least Significant Bit embedding (LSB) as the method of choice to hide messages in 24-bit, 8-bit color images and in grayscale images. They do so based on the common belief that changes to the LSBs of colors cannot be detected because of noise that is always present in digital images. By inspecting the differences in capacity for lossless (invertible) embedding in the LSB and the shifted LSB plane, the present invention reliably detects messages as short as 1% of the total number of pixels (assuming 1 bit per sample). The system and method of the present invention are fast, and they provide accurate estimates for the length of the embedded secret message.

Method And Apparatus For Identifying An Imaging Device
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US Patent:

7616237, Nov 10, 2009
Filed:

May 19, 2006
Appl. No.:

11/437176
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, 34820799
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.

Method And Apparatus For Identifying An Imaging Device
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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.

Lossless Embedding Of Data In Digital Objects
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US Patent:

7787652, Aug 31, 2010
Filed:

Jul 3, 2007
Appl. No.:

11/773263
Inventors:

Jessica Fridrich - Vestal NY, US
Miroslav Goljan - Johnson City NY, US
Rui Du - Johnson City NY, US
International Classification:

G06K 9/46
H04L 9/32
US Classification:

382100, 382244, 713176
Abstract:

Current methods of embedding hidden data in an image inevitably distort the original image by noise. This distortion cannot generally be removed completely because of quantization, bit-replacement, or truncation at the grayscales 0 and 255. The distortion, though often small, may make the original image unacceptable for medical applications, or for military and law enforcement applications where an image must be inspected under unusual viewing conditions (e. g. , after filtering or extreme zoom). The present invention provides high-capacity embedding of data that is lossless (or distortion-free) because, after embedded information is extracted from a cover image, we revert to an exact copy of the original image before the embedding took place. This new technique is a powerful tool for a variety of tasks, including lossless robust watermarking, lossless authentication with fragile watermarks, and steganalysis. The technique is applicable to raw, uncompressed formats (e. g.

Determining Whether Or Not A Digital Image Has Been Tampered With
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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.

Reliable Detection Of Lsb Steganography In Color And Grayscale Images
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US Patent:

20030026447, Feb 6, 2003
Filed:

Jun 22, 2001
Appl. No.:

09/887805
Inventors:

Jessica Fridrich - Vestal NY, US
Miroslav Goljan - Johnson City NY, US
International Classification:

G06K009/00
US Classification:

382/100000
Abstract:

A system and method that efficiently, accurately, and simply detect reliably least-significant-bit (“LSB”) embedding of a secret message in randomly scattered pixels. The system and method apply to both 24-bit color images and 8-bit grayscale or color images. Many commercial steganographic programs use Least Significant Bit embedding (LSB) as the method of choice to hide messages in 24-bit, 8-bit color images and in grayscale images. They do so based on the common belief that changes to the LSBs of colors cannot be detected because of noise that is always present in digital images. By inspecting the differences in capacity for lossless (invertible) embedding in the LSB and the shifted LSB plane, the present invention reliably detects messages as short as 1% of the total number of pixels (assuming 1 bit per sample). The system and method of the present invention are fast, and they provide accurate estimates for the length of the embedded secret message.