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Volumn 1, Issue , 2012, Pages 326-332

A study on the photo response non-uniformity noise pattern based image forensics in real-world applications

Author keywords

Image forensics; Image identity; Image tampering detection; Photo response non uniformity

Indexed keywords

IMAGE FORENSICS; IMAGE IDENTITY; IMAGE TAMPERING; NOISE PATTERNS; PHOTO RESPONSE NON-UNIFORMITY; REAL-WORLD APPLICATION; REAL-WORLD IMAGE; REALISTIC APPLICATIONS; RESEARCH AND DEVELOPMENT;

EID: 84873315504     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (8)

References (12)
  • 1
    • 27844493797 scopus 로고    scopus 로고
    • Exposing Digital Forgeries in Color Filter Array Interpolated Images
    • A.C., Popescuand and H., Farid: Exposing Digital Forgeries in Color Filter Array Interpolated Images. IEEE Transactions on Signal Processing, vol. 53(10), pp. 39483959, 2005.
    • (2005) IEEE Transactions on Signal Processing , vol.53 , Issue.10 , pp. 39483959
    • Popescuand, A.C.1    Farid, H.2
  • 3
    • 33744736314 scopus 로고    scopus 로고
    • Digital camera identification from sensor pattern noise
    • Jun.
    • J. Luks, J. Fridrich, and M. Goljan, Digital camera identification from sensor pattern noise, IEEE Trans. Inf. Forensics Security, vol. 1, no. 2, pp. 205214, Jun. 2006.
    • (2006) IEEE Trans. Inf. Forensics Security , vol.1 , Issue.2 , pp. 205214
    • Luks, J.1    Fridrich, J.2    Goljan, M.3
  • 8
    • 39449126219 scopus 로고    scopus 로고
    • Determining image originand integrity using sensor noise
    • Mar.
    • M. Chen, J. Fridrich, and M. Goljan, and J. Luk , Determining image originand integrity using sensor noise, IEEE Trans. Inform. Sec. Forensics, vol. 3, no.1, pp. 7490, Mar. 2008
    • (2008) IEEE Trans. Inform. Sec. Forensics , vol.3 , Issue.1 , pp. 7490
    • Chen, M.1    Fridrich, J.2    Goljan, M.3    Luk, J.4
  • 9
    • 70349329542 scopus 로고    scopus 로고
    • Using Sensor Noise to Identify Low Resolution Compressed Videos from YouTube
    • Proc. Computational Forensics, ISBN 978-3-642-03520-3. Springer Berlin Heidelberg
    • V. H. Wiger and G. Zeno, Using Sensor Noise to Identify Low Resolution Compressed Videos from YouTube in Proc. Computational Forensics, Lecture Notes in Computer Science, Volume 5718. ISBN 978-3-642-03520-3. Springer Berlin Heidelberg, 2009, p. 104
    • (2009) Lecture Notes in Computer Science , vol.5718 , pp. 104
    • Wiger, V.H.1    Zeno, G.2
  • 11
    • 84255198343 scopus 로고    scopus 로고
    • Camcorder Identification for Heavily Compressed Low Resolution Videos
    • DOI: 10.1007/978-94-007-2792-2-68
    • D.K., Hyun, C.H. Choi, H.K., Lee, Camcorder Identification for Heavily Compressed Low Resolution Videos, Lecture Notes in Electrical Engineering, 2012, Volume 114, Part 5, 695-701, DOI: 10.1007/978-94-007-2792-2-68
    • (2012) Lecture Notes in Electrical Engineering , vol.114 , Issue.PART 5 , pp. 695-701
    • Hyun, D.K.1    Choi, C.H.2    Lee, H.K.3
  • 12
    • 34547760736 scopus 로고    scopus 로고
    • Image denoising by sparse 3D transform-domain collaborative filtering
    • August
    • K. Dabov, A. Foi, V. Katkovnik, and K. Egiazarian, Image denoising by sparse 3D transform-domain collaborative filtering, IEEE Trans. Image Process., vol. 16, no. 8, August 2007.
    • (2007) IEEE Trans. Image Process. , vol.16 , Issue.8
    • Dabov, K.1    Foi, A.2    Katkovnik, V.3    Egiazarian, K.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.