한국정보처리학회:학술대회논문집 (Proceedings of the Korea Information Processing Society Conference)
- 한국정보처리학회 2010년도 추계학술발표대회
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- Pages.1118-1121
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- 2010
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- 2005-0011(pISSN)
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- 2671-7298(eISSN)
DOI QR Code
휴대폰의 CFA 패턴특성을 이용한 사진 위변조 탐지
Automatic Detection of Forgery in Cell phone Images using Analysis of CFA Pattern Characteristics in Imaging Sensor
- Shim, Jae-Youen (Dept. of Computer Science, University of Seoul) ;
- Kim, Seong-Whan (Dept. of Computer Science, University of Seoul)
- 발행 : 2010.11.12
초록
With the advent of cell phone digital cameras, and sophisticated photo editing software, digital images can be easily manipulated and altered. Although good forgeries may leave no visual clues of having been tampered with, they may, nevertheless, alter the underlying statistics of an image. Most digital camera equipped in cell phones employ a single image sensor in conjunction with a color filter array (CFA), and then interpolates the missing color samples to obtain a three channel color image. This interpolation introduces specific correlations which are likely to be destroyed when tampering with an image. We quantify the specific correlations introduced by CFA interpolation, and describe how these correlations, or lack thereof, can be automatically detected in any portion of an image. We show the efficacy of this approach in revealing traces of digital tampering in lossless and lossy compressed color images interpolated with several different CFA algorithms in test cell phones.
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