Robustness in blind camera identification

Stamatis Samaras; Vasilis Mygdalis; Ioannis Pitas

doi:10.1109/ICPR.2016.7900239

Robustness in blind camera identification

Stamatis Samaras, Vasilis Mygdalis, Ioannis Pitas

Department of Electrical & Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

9 Citations (Scopus)

438 Downloads (Pure)

Abstract

In this paper, we focus on studying the effects of various image operations on sensor fingerprint camera identification. It is known that artifacts in the image processing pipeline, such as pixel defects or unevenness of the responses in the CCD array as well black current noise leave telltale footprints. Nowadays, camera identification based on the analysis of these artifacts is a well established technology for linking an image to a specific camera. The sensor fingerprint is estimated from images taken from a device. A similarity measure is deployed in order to associate an image with the camera. However, when the images used in the sensor fingerprint estimation have been processed using e.g. gamma correction, contrast enhancement, histogram equalization or white balance, the properties of the detection statistic change, hence affecting fingerprint detection. In this paper we study this effect experimentally, towards quantifying
the robustness of fingerprint detection in the presence of image processing operations.

Original language	English
Title of host publication	2016 23rd International Conference on Pattern Recognition (ICPR 2016)
Subtitle of host publication	Proceedings of a meeting held 4-8 December 2016, Cancun, Mexico
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	3874-3879
Number of pages	6
ISBN (Electronic)	9781509048472
ISBN (Print)	9781509048489
DOIs	https://doi.org/10.1109/ICPR.2016.7900239
Publication status	Published - May 2017
Event	International Conference on Pattern Recognition - Cancun, Mexico Duration: 4 Dec 2016 → 8 Dec 2016

Conference

Conference	International Conference on Pattern Recognition
Abbreviated title	ICPR2016
Country/Territory	Mexico
City	Cancun
Period	4/12/16 → 8/12/16

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10.1109/ICPR.2016.7900239

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@inproceedings{e9473aa75cb64812a6678a1259cb4640,

title = "Robustness in blind camera identification",

abstract = "In this paper, we focus on studying the effects of various image operations on sensor fingerprint camera identification. It is known that artifacts in the image processing pipeline, such as pixel defects or unevenness of the responses in the CCD array as well black current noise leave telltale footprints. Nowadays, camera identification based on the analysis of these artifacts is a well established technology for linking an image to a specific camera. The sensor fingerprint is estimated from images taken from a device. A similarity measure is deployed in order to associate an image with the camera. However, when the images used in the sensor fingerprint estimation have been processed using e.g. gamma correction, contrast enhancement, histogram equalization or white balance, the properties of the detection statistic change, hence affecting fingerprint detection. In this paper we study this effect experimentally, towards quantifyingthe robustness of fingerprint detection in the presence of image processing operations.",

author = "Stamatis Samaras and Vasilis Mygdalis and Ioannis Pitas",

year = "2017",

month = may,

doi = "10.1109/ICPR.2016.7900239",

language = "English",

isbn = "9781509048489",

pages = "3874--3879",

booktitle = "2016 23rd International Conference on Pattern Recognition (ICPR 2016)",

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

address = "United States",

note = "International Conference on Pattern Recognition, ICPR2016 ; Conference date: 04-12-2016 Through 08-12-2016",

}

Samaras, S, Mygdalis, V & Pitas, I 2017, Robustness in blind camera identification. in 2016 23rd International Conference on Pattern Recognition (ICPR 2016): Proceedings of a meeting held 4-8 December 2016, Cancun, Mexico. Institute of Electrical and Electronics Engineers (IEEE), pp. 3874-3879, International Conference on Pattern Recognition, Cancun, Mexico, 4/12/16. https://doi.org/10.1109/ICPR.2016.7900239

Robustness in blind camera identification. / Samaras, Stamatis; Mygdalis, Vasilis; Pitas, Ioannis.
2016 23rd International Conference on Pattern Recognition (ICPR 2016): Proceedings of a meeting held 4-8 December 2016, Cancun, Mexico. Institute of Electrical and Electronics Engineers (IEEE), 2017. p. 3874-3879.

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

TY - GEN

T1 - Robustness in blind camera identification

AU - Samaras, Stamatis

AU - Mygdalis, Vasilis

AU - Pitas, Ioannis

PY - 2017/5

Y1 - 2017/5

N2 - In this paper, we focus on studying the effects of various image operations on sensor fingerprint camera identification. It is known that artifacts in the image processing pipeline, such as pixel defects or unevenness of the responses in the CCD array as well black current noise leave telltale footprints. Nowadays, camera identification based on the analysis of these artifacts is a well established technology for linking an image to a specific camera. The sensor fingerprint is estimated from images taken from a device. A similarity measure is deployed in order to associate an image with the camera. However, when the images used in the sensor fingerprint estimation have been processed using e.g. gamma correction, contrast enhancement, histogram equalization or white balance, the properties of the detection statistic change, hence affecting fingerprint detection. In this paper we study this effect experimentally, towards quantifyingthe robustness of fingerprint detection in the presence of image processing operations.

AB - In this paper, we focus on studying the effects of various image operations on sensor fingerprint camera identification. It is known that artifacts in the image processing pipeline, such as pixel defects or unevenness of the responses in the CCD array as well black current noise leave telltale footprints. Nowadays, camera identification based on the analysis of these artifacts is a well established technology for linking an image to a specific camera. The sensor fingerprint is estimated from images taken from a device. A similarity measure is deployed in order to associate an image with the camera. However, when the images used in the sensor fingerprint estimation have been processed using e.g. gamma correction, contrast enhancement, histogram equalization or white balance, the properties of the detection statistic change, hence affecting fingerprint detection. In this paper we study this effect experimentally, towards quantifyingthe robustness of fingerprint detection in the presence of image processing operations.

U2 - 10.1109/ICPR.2016.7900239

DO - 10.1109/ICPR.2016.7900239

M3 - Conference Contribution (Conference Proceeding)

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BT - 2016 23rd International Conference on Pattern Recognition (ICPR 2016)

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - International Conference on Pattern Recognition

Y2 - 4 December 2016 through 8 December 2016

ER -

Robustness in blind camera identification

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