Presentation 2013-06-11
Camera Identification in Scaled Images Based on Sensor Pattern Noises
Yuya ITO, Yoichi TOMIOKA, Hitoshi KITAZAWA,
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Abstract(in English) In recent years, a digital camera identification method based on image sensor noise has been proposed, and this method is expected to contribute to scientific criminal investigations. In this paper, we propose a computationally efficient and reliable digital camera identification method for scaled images based on the combination of scaling factor estimation using interpolation-related periodicity and camera identification using the clustered Photo Response Non-uniformity (PRNU) noise. First, we enhanced Gallagher's method [1] and significantly improved the accuracy of scaling factor estimation. Then, we conducted camera identification for each candidate scaling factor obtained during scaling factor estimation. Finally, we conducted experiments, which demonstrated that the proposed method could identify the source cameras of scaled images with high accuracy.
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Keyword(in English) digital camera identification / PRNU noise / interpolation / scaling factor estimation
Paper # PRMU2013-26
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Conference Information
Committee PRMU
Conference Date 2013/6/3(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Camera Identification in Scaled Images Based on Sensor Pattern Noises
Sub Title (in English)
Keyword(1) digital camera identification
Keyword(2) PRNU noise
Keyword(3) interpolation
Keyword(4) scaling factor estimation
1st Author's Name Yuya ITO
1st Author's Affiliation Department of Electrical and Electronic Engineering, Tokyo University of Agriculture and Technology()
2nd Author's Name Yoichi TOMIOKA
2nd Author's Affiliation Department of Electrical and Electronic Engineering, Tokyo University of Agriculture and Technology
3rd Author's Name Hitoshi KITAZAWA
3rd Author's Affiliation Department of Electrical and Electronic Engineering, Tokyo University of Agriculture and Technology
Date 2013-06-11
Paper # PRMU2013-26
Volume (vol) vol.113
Number (no) 75
Page pp.pp.-
#Pages 6
Date of Issue