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Volumn , Issue , 2010, Pages 3052-3055

Digital camera identification using colour-decoupled photo response non-uniformity noise pattern

Author keywords

Digital forensics; Digital investigation; Photo response non uniformity noise; Source device identification

Indexed keywords

COMMONLY USED; CONTENT INTEGRITY; DIGITAL CAMERA IDENTIFICATION; DIGITAL FORENSIC; DIGITAL INVESTIGATION; EXISTING METHOD; FILTER ARRAYS; IMAGING SENSORS; INTERPOLATION ERROR; NOISE PATTERNS; PHOTO RESPONSE NON-UNIFORMITY; SOURCE DEVICE IDENTIFICATION;

EID: 77955995946     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISCAS.2010.5537994     Document Type: Conference Paper
Times cited : (24)

References (9)
  • 3
    • 69749111736 scopus 로고    scopus 로고
    • Intrinsic Sensor Noise Features for Forensic Analysis on Scanners and Scanned Images
    • Sept.
    • H. Gou, A. Swaminathan and M. Wu, "Intrinsic Sensor Noise Features for Forensic Analysis on Scanners and Scanned Images," IEEE Transactions on Information Forensics and Security, vol. 4, no. 3, pp. 476 - 491 Sept. 2009
    • (2009) IEEE Transactions on Information Forensics and Security , vol.4 , Issue.3 , pp. 476-491
    • Gou, H.1    Swaminathan, A.2    Wu, M.3
  • 8
    • 27844493797 scopus 로고    scopus 로고
    • Exposing Digital Forgeries in Colour Filter Array Interpolated Images
    • A.C. Popescu and H. Farid, "Exposing Digital Forgeries in Colour Filter Array Interpolated Images." IEEE Transactions on Signal Processing, vol. 53, no.10, pp. 3948-3959, 2005.
    • (2005) IEEE Transactions on Signal Processing , vol.53 , Issue.10 , pp. 3948-3959
    • Popescu, A.C.1    Farid, H.2
  • 9
    • 85032752368 scopus 로고    scopus 로고
    • Digital Image Forensic Using Sensor Noise
    • March
    • J. Fridrich, "Digital Image Forensic Using Sensor Noise," IEEE Signal Processing Magazine, vol. 26, no. 2, pp. 26-37, March 2009.
    • (2009) IEEE Signal Processing Magazine , vol.26 , Issue.2 , pp. 26-37
    • Fridrich, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.