Using improved imaging sensor pattern noise for source camera identification

Yongjian Hu; Chao Jian; Chang Tsun Li

doi:10.1109/ICME.2010.5582952

Using improved imaging sensor pattern noise for source camera identification

Yongjian Hu, Chao Jian, Chang Tsun Li

South China University of Technology

Research output: Book chapter/Published conference paper › Conference paper › peer-review

13 Citations (Scopus)

Abstract

The imaging sensor (e.g., CCD) pattern noise is a noise-like spread-spectrum signal inherently cast onto every digital image by each imaging device. It has been recognized as a reliable device fingerprint for source camera/scanner identification and image origin verification. However, one weakness of current sensor pattern noise-based camera fingerprints is that their construction only uses information from single color channel images. The resultant fingerprint can not comprehensively reflect characteristics of the camera sensor array. Taking into account the characteristics of the CFA (color filter array) structure, this work proposes a new way to construct camera fingerprints using information from all of the three single color channel images. Good detection results have been achieved on different camera models.

Original language	English
Title of host publication	2010 IEEE International Conference on Multimedia and Expo, ICME 2010
Pages	1481-1486
Number of pages	6
DOIs	https://doi.org/10.1109/ICME.2010.5582952
Publication status	Published - 2010
Event	2010 IEEE International Conference on Multimedia and Expo, ICME 2010 - Singapore, Singapore Duration: 19 Jul 2010 → 23 Jul 2010

Conference

Conference	2010 IEEE International Conference on Multimedia and Expo, ICME 2010
Country/Territory	Singapore
City	Singapore
Period	19/07/10 → 23/07/10

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10.1109/ICME.2010.5582952

Cite this

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title = "Using improved imaging sensor pattern noise for source camera identification",

abstract = "The imaging sensor (e.g., CCD) pattern noise is a noise-like spread-spectrum signal inherently cast onto every digital image by each imaging device. It has been recognized as a reliable device fingerprint for source camera/scanner identification and image origin verification. However, one weakness of current sensor pattern noise-based camera fingerprints is that their construction only uses information from single color channel images. The resultant fingerprint can not comprehensively reflect characteristics of the camera sensor array. Taking into account the characteristics of the CFA (color filter array) structure, this work proposes a new way to construct camera fingerprints using information from all of the three single color channel images. Good detection results have been achieved on different camera models.",

keywords = "Camera fingerprint construction, Camera identification, Color channel image, Digital image forensics, Sensor pattern noise",

author = "Yongjian Hu and Chao Jian and Li, {Chang Tsun}",

year = "2010",

doi = "10.1109/ICME.2010.5582952",

language = "English",

isbn = "9781424474912",

pages = "1481--1486",

booktitle = "2010 IEEE International Conference on Multimedia and Expo, ICME 2010",

note = "2010 IEEE International Conference on Multimedia and Expo, ICME 2010 ; Conference date: 19-07-2010 Through 23-07-2010",

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TY - GEN

T1 - Using improved imaging sensor pattern noise for source camera identification

AU - Hu, Yongjian

AU - Jian, Chao

AU - Li, Chang Tsun

PY - 2010

Y1 - 2010

N2 - The imaging sensor (e.g., CCD) pattern noise is a noise-like spread-spectrum signal inherently cast onto every digital image by each imaging device. It has been recognized as a reliable device fingerprint for source camera/scanner identification and image origin verification. However, one weakness of current sensor pattern noise-based camera fingerprints is that their construction only uses information from single color channel images. The resultant fingerprint can not comprehensively reflect characteristics of the camera sensor array. Taking into account the characteristics of the CFA (color filter array) structure, this work proposes a new way to construct camera fingerprints using information from all of the three single color channel images. Good detection results have been achieved on different camera models.

AB - The imaging sensor (e.g., CCD) pattern noise is a noise-like spread-spectrum signal inherently cast onto every digital image by each imaging device. It has been recognized as a reliable device fingerprint for source camera/scanner identification and image origin verification. However, one weakness of current sensor pattern noise-based camera fingerprints is that their construction only uses information from single color channel images. The resultant fingerprint can not comprehensively reflect characteristics of the camera sensor array. Taking into account the characteristics of the CFA (color filter array) structure, this work proposes a new way to construct camera fingerprints using information from all of the three single color channel images. Good detection results have been achieved on different camera models.

KW - Camera fingerprint construction

KW - Camera identification

KW - Color channel image

KW - Digital image forensics

KW - Sensor pattern noise

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DO - 10.1109/ICME.2010.5582952

M3 - Conference paper

AN - SCOPUS:78349279196

SN - 9781424474912

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EP - 1486

BT - 2010 IEEE International Conference on Multimedia and Expo, ICME 2010

T2 - 2010 IEEE International Conference on Multimedia and Expo, ICME 2010

Y2 - 19 July 2010 through 23 July 2010

ER -

Using improved imaging sensor pattern noise for source camera identification

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