Source camera identification based on CFA interpolation

Sevinc Bayram; Husrev T. Sencar; Nasir Memon; Ismail Avcibas

doi:10.1109/ICIP.2005.1530330

Source camera identification based on CFA interpolation

Sevinc Bayram^*, Husrev T. Sencar, Nasir Memon, Ismail Avcibas

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

285 Citations (Scopus)

Abstract

In this work, we focus our interest on blind source camera identification problem by extending our results in the direction of [1]. The interpolation in the color surface of an image due to the use of a color filter array (CFA) forms the basis of the paper. We propose to identify the source camera of an image based on traces of the proprietary interpolation algorithm deployed by a digital camera. For this purpose, a set of image characteristics are defined and then used in conjunction with a support vector machine based multi-class classifier to determine the originating digital camera. We also provide initial results on identifying source among two and three digital cameras.

Original language	English
Title of host publication	IEEE International Conference on Image Processing 2005, ICIP 2005
Pages	69-72
Number of pages	4
DOIs	https://doi.org/10.1109/ICIP.2005.1530330
Publication status	Published - 2005
Externally published	Yes
Event	IEEE International Conference on Image Processing 2005, ICIP 2005 - Genova, Italy Duration: 11 Sept 2005 → 14 Sept 2005

Publication series

Name	Proceedings - International Conference on Image Processing, ICIP
Volume	3
ISSN (Print)	1522-4880

Conference

Conference	IEEE International Conference on Image Processing 2005, ICIP 2005
Country/Territory	Italy
City	Genova
Period	11/09/05 → 14/09/05

Access to Document

10.1109/ICIP.2005.1530330

Cite this

@inproceedings{535f7bd0761a4bf9b58f869f9ecef2d3,

title = "Source camera identification based on CFA interpolation",

abstract = "In this work, we focus our interest on blind source camera identification problem by extending our results in the direction of [1]. The interpolation in the color surface of an image due to the use of a color filter array (CFA) forms the basis of the paper. We propose to identify the source camera of an image based on traces of the proprietary interpolation algorithm deployed by a digital camera. For this purpose, a set of image characteristics are defined and then used in conjunction with a support vector machine based multi-class classifier to determine the originating digital camera. We also provide initial results on identifying source among two and three digital cameras.",

author = "Sevinc Bayram and Sencar, {Husrev T.} and Nasir Memon and Ismail Avcibas",

year = "2005",

doi = "10.1109/ICIP.2005.1530330",

language = "English",

isbn = "0780391349",

series = "Proceedings - International Conference on Image Processing, ICIP",

pages = "69--72",

booktitle = "IEEE International Conference on Image Processing 2005, ICIP 2005",

note = "IEEE International Conference on Image Processing 2005, ICIP 2005 ; Conference date: 11-09-2005 Through 14-09-2005",

}

Bayram, S, Sencar, HT, Memon, N & Avcibas, I 2005, Source camera identification based on CFA interpolation. in IEEE International Conference on Image Processing 2005, ICIP 2005., 1530330, Proceedings - International Conference on Image Processing, ICIP, vol. 3, pp. 69-72, IEEE International Conference on Image Processing 2005, ICIP 2005, Genova, Italy, 11/09/05. https://doi.org/10.1109/ICIP.2005.1530330

Source camera identification based on CFA interpolation. / Bayram, Sevinc; Sencar, Husrev T.; Memon, Nasir et al.
IEEE International Conference on Image Processing 2005, ICIP 2005. 2005. p. 69-72 1530330 (Proceedings - International Conference on Image Processing, ICIP; Vol. 3).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Source camera identification based on CFA interpolation

AU - Bayram, Sevinc

AU - Sencar, Husrev T.

AU - Memon, Nasir

AU - Avcibas, Ismail

PY - 2005

Y1 - 2005

N2 - In this work, we focus our interest on blind source camera identification problem by extending our results in the direction of [1]. The interpolation in the color surface of an image due to the use of a color filter array (CFA) forms the basis of the paper. We propose to identify the source camera of an image based on traces of the proprietary interpolation algorithm deployed by a digital camera. For this purpose, a set of image characteristics are defined and then used in conjunction with a support vector machine based multi-class classifier to determine the originating digital camera. We also provide initial results on identifying source among two and three digital cameras.

AB - In this work, we focus our interest on blind source camera identification problem by extending our results in the direction of [1]. The interpolation in the color surface of an image due to the use of a color filter array (CFA) forms the basis of the paper. We propose to identify the source camera of an image based on traces of the proprietary interpolation algorithm deployed by a digital camera. For this purpose, a set of image characteristics are defined and then used in conjunction with a support vector machine based multi-class classifier to determine the originating digital camera. We also provide initial results on identifying source among two and three digital cameras.

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U2 - 10.1109/ICIP.2005.1530330

DO - 10.1109/ICIP.2005.1530330

M3 - Conference contribution

AN - SCOPUS:33749254274

SN - 0780391349

SN - 9780780391345

T3 - Proceedings - International Conference on Image Processing, ICIP

SP - 69

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BT - IEEE International Conference on Image Processing 2005, ICIP 2005

T2 - IEEE International Conference on Image Processing 2005, ICIP 2005

Y2 - 11 September 2005 through 14 September 2005

ER -

Source camera identification based on CFA interpolation

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