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Volumn 4, Issue , 2007, Pages

New features to identify computer generated images

Author keywords

Bayer filter; Chromatic aberration; Computer generated; Demosaicking; Digital image forensics

Indexed keywords

ABERRATIONS; DIGITAL FORENSICS;

EID: 48149097069     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2007.4380047     Document Type: Conference Paper
Times cited : (74)

References (7)
  • 2
    • 48149103809 scopus 로고    scopus 로고
    • Physics-motivated features for distinguishing photographic images and computer graphics
    • Singapore, November
    • N. Tian-Tsong, C. Shih-Fu. H. Yu-Feng. X. Lexing, and T. Mao-Pei, "Physics-motivated features for distinguishing photographic images and computer graphics," in ACM Multimedia, Singapore, November 2005.
    • (2005) ACM Multimedia
    • Tian-Tsong, N.1    Shih, C.2    Yu-Feng, F.H.3    Lexing, X.4    Mao-Pei, T.5
  • 3
    • 33947705694 scopus 로고    scopus 로고
    • Y. Wang and P. Moulin, On discrimination between photorealistic and photographic images, in IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, May 2006, 2, pp. II-161-II-164.
    • Y. Wang and P. Moulin, "On discrimination between photorealistic and photographic images," in IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, May 2006, vol. 2, pp. II-161-II-164.
  • 4
    • 48149107451 scopus 로고    scopus 로고
    • Identification of computer generated and digital camera images for digital image forensics
    • S. Dehnie, H. T. Sencar, and N. Memon, "Identification of computer generated and digital camera images for digital image forensics," in Proc. of IEEE ICIP, 2006.
    • (2006) Proc. of IEEE ICIP
    • Dehnie, S.1    Sencar, H.T.2    Memon, N.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.