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

Center for Cyber Security

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

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 (US)
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
State	Published - 2005
Event	IEEE International Conference on Image Processing 2005, ICIP 2005 - Genova, Italy Duration: Sep 11 2005 → Sep 14 2005

Publication series

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

Other

Other	IEEE International Conference on Image Processing 2005, ICIP 2005
Country/Territory	Italy
City	Genova
Period	9/11/05 → 9/14/05

ASJC Scopus subject areas

General Engineering

Access to Document

10.1109/ICIP.2005.1530330

Cite this

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, 9/11/05. https://doi.org/10.1109/ICIP.2005.1530330

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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 (US)",

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",

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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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DO - 10.1109/ICIP.2005.1530330

M3 - Conference contribution

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SN - 0780391349

SN - 9780780391345

T3 - Proceedings - International Conference on Image Processing, ICIP

SP - 69

EP - 72

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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