An improved algorithm for camera model identification using inter-channel demosaicking traces

Yongjian Hu; Chang Tsun Li; Xufeng Lin; Bei Bei Liu

doi:10.1109/IIH-MSP.2012.85

An improved algorithm for camera model identification using inter-channel demosaicking traces

Yongjian Hu, Chang Tsun Li, Xufeng Lin, Bei Bei Liu

Research output: Book chapter/Published conference paper › Conference paper

6 Citations (Scopus)

Abstract

Most CFA (color filter array) interpolation-based digital image forensic methods characterize inter-pixel relationship with a linear model and use the estimated interpolation coefficients as features for image source camera identification. However, various CFA models and interpolation algorithms must be tried for coefficient estimation during the detection process in that the CFA pattern of an image is often unknown at the receiver's end. This incurs high computational complexity. Instead of using inter-pixel correlations, Ho et al. proposed to use inter-channel demosaicking/color interpolation traces for identifying the source camera model of a test image. In this work, we propose an improved algorithm. We first extract two variance maps by estimating the variances of each component of the green-to-red and green-to-blue spectrum differences, respectively, and then take the shape and texture features of these two maps for camera model identification. Experimental results show that our method achieves better overall performance.

Original language	English
Title of host publication	Proceedings of the 2012 8th International Conference on Intelligent Information Hiding and Multimedia Signal Processing
Subtitle of host publication	IIH-MSP 2012
Place of Publication	USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	325-330
Number of pages	6
ISBN (Print)	9780769547121
DOIs	https://doi.org/10.1109/IIH-MSP.2012.85
Publication status	Published - 2012
Event	8th International Conference on Intelligent Information Hiding and Multimedia Signal Processing: IIHMSP-2012 - Department of Informatics, University of Piraeus, Piraeus-Athens, Greece Duration: 18 Jul 2012 → 20 Jul 2012 https://web.archive.org/web/20120422072853/http://iihmsp12.unipi.gr (Conference website)

Conference

Conference	8th International Conference on Intelligent Information Hiding and Multimedia Signal Processing
Country	Greece
City	Piraeus-Athens
Period	18/07/12 → 20/07/12
Other	IIH-MSP 2012 is the eighth International Conference on Intelligent Information Hiding and Multimedia Signal Processing. The conference this year is technically co-sponsored by IEEE and the European Association for Biometrics (EAB) and hosted by the University of Piraeus, Piraeus, Greece. Multimedia technologies with an increasing level of intelligence are emerging to enable the process of creating a global information infrastructure that will interconnect heterogeneous computer networks and various forms of information technologies around the world. The conference is intended as an international forum for researchers and professionals in all areas of information hiding and multimedia signal processing.
Internet address	https://web.archive.org/web/20120422072853/http://iihmsp12.unipi.gr (Conference website)

Access to Document

10.1109/IIH-MSP.2012.85

Fingerprint Dive into the research topics of 'An improved algorithm for camera model identification using inter-channel demosaicking traces'. Together they form a unique fingerprint.

Cite this

Hu, Y., Li, C. T., Lin, X., & Liu, B. B. (2012). An improved algorithm for camera model identification using inter-channel demosaicking traces. In Proceedings of the 2012 8th International Conference on Intelligent Information Hiding and Multimedia Signal Processing: IIH-MSP 2012 (pp. 325-330). [6274246] IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/IIH-MSP.2012.85

Hu, Yongjian ; Li, Chang Tsun ; Lin, Xufeng ; Liu, Bei Bei. / An improved algorithm for camera model identification using inter-channel demosaicking traces. Proceedings of the 2012 8th International Conference on Intelligent Information Hiding and Multimedia Signal Processing: IIH-MSP 2012. USA : IEEE, Institute of Electrical and Electronics Engineers, 2012. pp. 325-330

@inproceedings{9ced266864af4b82b7a18265f2a2e03c,

title = "An improved algorithm for camera model identification using inter-channel demosaicking traces",

abstract = "Most CFA (color filter array) interpolation-based digital image forensic methods characterize inter-pixel relationship with a linear model and use the estimated interpolation coefficients as features for image source camera identification. However, various CFA models and interpolation algorithms must be tried for coefficient estimation during the detection process in that the CFA pattern of an image is often unknown at the receiver's end. This incurs high computational complexity. Instead of using inter-pixel correlations, Ho et al. proposed to use inter-channel demosaicking/color interpolation traces for identifying the source camera model of a test image. In this work, we propose an improved algorithm. We first extract two variance maps by estimating the variances of each component of the green-to-red and green-to-blue spectrum differences, respectively, and then take the shape and texture features of these two maps for camera model identification. Experimental results show that our method achieves better overall performance.",

keywords = "CFA, color interpolation, demosaicking, device identification, image forensics",

author = "Yongjian Hu and Li, {Chang Tsun} and Xufeng Lin and Liu, {Bei Bei}",

year = "2012",

doi = "10.1109/IIH-MSP.2012.85",

language = "English",

isbn = "9780769547121",

pages = "325--330",

booktitle = "Proceedings of the 2012 8th International Conference on Intelligent Information Hiding and Multimedia Signal Processing",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States",

note = "8th International Conference on Intelligent Information Hiding and Multimedia Signal Processing : IIHMSP-2012 ; Conference date: 18-07-2012 Through 20-07-2012",

url = "https://web.archive.org/web/20120422072853/http://iihmsp12.unipi.gr",

}

Hu, Y, Li, CT, Lin, X & Liu, BB 2012, An improved algorithm for camera model identification using inter-channel demosaicking traces. in Proceedings of the 2012 8th International Conference on Intelligent Information Hiding and Multimedia Signal Processing: IIH-MSP 2012., 6274246, IEEE, Institute of Electrical and Electronics Engineers, USA, pp. 325-330, 8th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, Piraeus-Athens, Greece, 18/07/12. https://doi.org/10.1109/IIH-MSP.2012.85

An improved algorithm for camera model identification using inter-channel demosaicking traces. / Hu, Yongjian; Li, Chang Tsun; Lin, Xufeng; Liu, Bei Bei.

Proceedings of the 2012 8th International Conference on Intelligent Information Hiding and Multimedia Signal Processing: IIH-MSP 2012. USA : IEEE, Institute of Electrical and Electronics Engineers, 2012. p. 325-330 6274246.

Research output: Book chapter/Published conference paper › Conference paper

TY - GEN

T1 - An improved algorithm for camera model identification using inter-channel demosaicking traces

AU - Hu, Yongjian

AU - Li, Chang Tsun

AU - Lin, Xufeng

AU - Liu, Bei Bei

PY - 2012

Y1 - 2012

N2 - Most CFA (color filter array) interpolation-based digital image forensic methods characterize inter-pixel relationship with a linear model and use the estimated interpolation coefficients as features for image source camera identification. However, various CFA models and interpolation algorithms must be tried for coefficient estimation during the detection process in that the CFA pattern of an image is often unknown at the receiver's end. This incurs high computational complexity. Instead of using inter-pixel correlations, Ho et al. proposed to use inter-channel demosaicking/color interpolation traces for identifying the source camera model of a test image. In this work, we propose an improved algorithm. We first extract two variance maps by estimating the variances of each component of the green-to-red and green-to-blue spectrum differences, respectively, and then take the shape and texture features of these two maps for camera model identification. Experimental results show that our method achieves better overall performance.

AB - Most CFA (color filter array) interpolation-based digital image forensic methods characterize inter-pixel relationship with a linear model and use the estimated interpolation coefficients as features for image source camera identification. However, various CFA models and interpolation algorithms must be tried for coefficient estimation during the detection process in that the CFA pattern of an image is often unknown at the receiver's end. This incurs high computational complexity. Instead of using inter-pixel correlations, Ho et al. proposed to use inter-channel demosaicking/color interpolation traces for identifying the source camera model of a test image. In this work, we propose an improved algorithm. We first extract two variance maps by estimating the variances of each component of the green-to-red and green-to-blue spectrum differences, respectively, and then take the shape and texture features of these two maps for camera model identification. Experimental results show that our method achieves better overall performance.

KW - CFA

KW - color interpolation

KW - demosaicking

KW - device identification

KW - image forensics

UR - http://www.scopus.com/inward/record.url?scp=84867181171&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84867181171&partnerID=8YFLogxK

U2 - 10.1109/IIH-MSP.2012.85

DO - 10.1109/IIH-MSP.2012.85

M3 - Conference paper

AN - SCOPUS:84867181171

SN - 9780769547121

SP - 325

EP - 330

BT - Proceedings of the 2012 8th International Conference on Intelligent Information Hiding and Multimedia Signal Processing

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - USA

T2 - 8th International Conference on Intelligent Information Hiding and Multimedia Signal Processing

Y2 - 18 July 2012 through 20 July 2012

ER -

Hu Y, Li CT, Lin X, Liu BB. An improved algorithm for camera model identification using inter-channel demosaicking traces. In Proceedings of the 2012 8th International Conference on Intelligent Information Hiding and Multimedia Signal Processing: IIH-MSP 2012. USA: IEEE, Institute of Electrical and Electronics Engineers. 2012. p. 325-330. 6274246 https://doi.org/10.1109/IIH-MSP.2012.85