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2014 | 14 | 2 |
Tytuł artykułu

Method for identification the recording device of digital images

Treść / Zawartość
Warianty tytułu
RU
Metod identifikacii apparatury zapisi cifrovykh fotografijj
Języki publikacji
EN
Abstrakty
EN
RU
Wydawca
-
Rocznik
Tom
14
Numer
2
Opis fizyczny
p.146-151,fig.,ref.
Twórcy
autor
  • National Aviation University, Kosmonavta Komarova 1, Kyiv, 03058, Ukraine
  • Volodymyr Dahl East-Ukrainian National University, Molodizhny bl. 20а, Lugansk, 91034, Ukraine
Bibliografia
  • 1. Bayram S., 2005.: “Source camera identification based on CFA interpolation,”/ S. Bayram, H. T. Sencar, N. Memon, and I. Avcibas // Proc. ICIP, International Conference on Image Processing. – V.3. – 69- 72.
  • 2. Bayram S., Sencar H.T., Memon N., Avcibas I., 2006: ”Source camera identification based on CFA interpolation,” Proc. ICIP 2005. IEEE International Conference on Image Processing. – 69-72.
  • 3. Bespalov D.A., 2006.: Natural parallelism of fast algorithms of wavelet transformation // Izvestiya TRTU. – 200. (in Russian).
  • 4. Byelozorov E.V., 2011.: Method of revealing of digital media - data modifications on the basis of adaptive wavelet filtrations usage // Herald V. Dahl East-Ukrainian National University. – № 7(161). P.1. – 15-21. (in Russian)
  • 5. Byelozorov E.V., 2014.: Revealing of digital images assembling on the basis of maximum coefficients analysis of wavelet transform. Tеka. Commission of motorization and energetics in agriculture – V.14, № 1, 3-9.
  • 6. Byelozorov E.V., Rybalskiy O.V., Solovyov V.I., Bryukhanova YA.A., 2010.: Methodology of signal gram authenticity checking by revealing of self-similar structures // Information safety. – № 2 – 35- 49. (in Russian).
  • 7. Byelozorov E.V., Solovyov V.I., Bryukhanova YA.A., 2010.: Method of authenticity images estimation on the basis of the analysis of their spectral characteristics // Herald of V. Dahl East – Ukrainian National University. – № 4(146). P.1. – 179-184. (in Russian).
  • 8. Chen M., 2007.: “Source digital camcorder identification using sensor photo response non-uniformity,”/ M. Chen, J. Fridrich, M. Goljan, and J. Lukac//Proc. of SPIE Electronic Imaging. – V.6505. – 1G-1H.
  • 9. Choi K.S., Lam E.Y., Wong K.K.Y., 2006.: ”Automatic source camera identification using the intrinsic lens radial distortion,” Optics Express – Vol.14(24), 11551-1565.
  • 10. Dirik, A.E., Sencar, H.T., Husrev T., Memon, N., 2007.: ”Source Camera Identification Based on Sensor Dust Characteristics,” Proc. IEEE Workshop on Signal Processing Applications for Public Security and Forensics, Washington. – 1-6.
  • 11. Gou H., Swaminathan A., Wu M., 2007.: ”Robust Scanner Identification based on Noise Features,” Proc. SPIE, Electronic Imaging, Security, Steganography, and Watermarking of Multimedia Contents IX, San Jose, California. – Vol.6505. – 0S-0T.
  • 12. Harten A., 1993.: Discrete multi-resolution analysis and generalized wavelets./A. Harten //J.App.Num.Math. –V.12. – 153-193.
  • 13. Kharrazi M., 2004.: “Blind source camera identification,”/M. Kharrazi, H. Sencar, and N. Memon//Proc. ICIP, International Conference on Image Processing. – V.1. –709-712.
  • 14. Kurosawa K., 1999.: “CCD fingerprint method - identification of a video camera from videotaped images,”/K. Kurosawa, K. Duroki, and N. Saitoh//Proc. of ICIP, International Conference on Image Processing – V.1. – 537-540.
  • 15. Lukáš J., Fridrich J., Goljan M., 2006.: Digital camera identification from sensor pattern noise. Information Forensics and Security, IEEE Transactions on , №1(2) – 205-214.
  • 16. Sieriebriak K., 2012.: Information technologies in Ukraine: problems and obstacles. Tеka. Commission of motorization and energetics in agriculture – V.12, № 3, 128-135.
  • 17. Stéphane Mallat, 2008.: A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way. – Elsavier. – 806.
  • 18. Sutcu Y., Bayram S., Sencar H.T., Memon N., 2007.: Improvements on Sensor Noise Based Source Camera Identification,” Proc IEEE, International Conference on Multimedia and Expo. – 24-27.
  • 19. Swaminathan A., Wu M., and Liu K.J.R., 2007.: ”Nonintrusive Component Forensics of Visual Sensors Using Output Images.” IEEE Transactions on Information Forensics and Security. – Vol.2(1) – 91-106.
  • 20. Voronova A., 2011.: Information technologies in public administration practice. TEKA, Commision of Motorization and Power Industry in agriculture, Lublin University of technology, Volodymyr Dahl East-Ukrainian National University of Lugansk, Volume XD, Lublin, 313-318.
  • 21. Xue X., 2006.: “An image identification system of seal with fingerprint based on cmos image sensor,”/X. Xue, S. Zhang, and Y. Guo //Proc. of SPIE. – V.6027(3)A. – 1-8.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.agro-44f4e5f5-5622-4125-84f4-894b012f4a5b
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