Revealing of digital images assembling on the basis of maximum coefficients analysis of wavelet transform

• Autorzy: Byelozorov E.

Warianty tytułu

RU

Vyjavlenie montazha cifrovykh izobrazhenijj na osnove analiza maksimumov koehfficientov vejjvlet - preobrazovanija

• Języki publikacji: EN

Abstrakty

EN

RU

Słowa kluczowe

EN

media-signal; wavelet transform; digital image; information technology; signal decomposition; digital signal processing

• Wydawca: -
• Czasopismo: Teka Komisji Motoryzacji i Energetyki Rolnictwa
• Rocznik: 2014
• Tom: 14
• Numer: 1
• Opis fizyczny: p.3-9,fig.,ref.

Twórcy

autor

Byelozorov E.

• Volodymyr Dahl East-Ukrainian National University, Molodizhny bl., 20а, Lugansk, 91034, Ukraine

Bibliografia

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• 2. Bespalov D.A., 2006.: Natural parallelism of fast algorithms of wavelet transformation //Izvestiya TRTU. – 200.
• 3. Byelozerov 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).
• 4. Byelozerov E.V., Rybalskiy O.V., Solovyov V.I., Bruhanova Y.A., 2010.: Methodology of signal gram authenticity checking by revealing of self-similar structures //Information safety. – №2 –35-49. (in Russian).
• 5. Byelozerov E.V., Solovyov V.I., Bruhanova Y.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).
• 6. Byelozorov E.V., 2013.: Model to reveal the singularities of a digital graphical signal for finding out of its recording // Herald V. Dahl EUNU. – Lugansk, V. Dahl EUNU. - №6 (195), P.1. – 67–71. (in Russian).
• 7. Farid H., 2009.: “A survey of image forgery detection,” IEEE Signal Processing Magazine, V. 2, № 26, 16–25.
• 8. Fridrich J., Soukal D., Lukґas J., 2003.: “Detection of copy-move forgery in digital images,"in Digital Forensics Research Workshop.
• 9. Harten A., 1993.: Discrete multiresolution analysis and generalized wavelets. //J.App.Num.Math. – V.12. – 153-193.
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• 11. Li G., Wu Q., Tu D., Sun S., 2007.: "A Sorted Neighborhood Approach for Detecting Duplicated Regions in Image Forgeries based on DWT and SVD", in Proceedings of IEEE International Conference on Multimedia and Expo, Beijing China, July 2-5, 1750-1753.
• 12. McKay C. E., Swaminathan A., Gou H., Wu M., 2008.: “Image acquisition forensics: Forensic analysis to indentify imaging source" in Proc. IEEE Conf. Acoustic, Speech, and Signal Processing, Las Vegas, NV, 1657-1660.
• 13. Myna A. N., Venkateshmurthy M. G., Patil C. G., 2007.: Detection of Region Duplication Forgery in Digital Images Using Wavelets and Log-Polar Mapping, in: International Conference on Computational Intelligence and Multimedia Applications, Sivakasi, India, 371-377.
• 14. Popescu A., Farid H., 2004.: Exposing digital forgeries by detecting duplicated image regions. //Dartmouth College, Tech. Rep. – TR2004-515. – 24-32.
• 15. Rybalskiy O.V., 2006.: Main theoretical statements to reveal the traces of phonogram digital processing and peculiarities of its programmed and methodic realization in the expertise of materials and video-sound recording means. (part 1) // Information protection. – K., № 1. – 71-76. (in Russian).
• 16. Rybalskiy O.V., Zharikov Yu.F., 2003.: Modern methods to test the authenticity of magnetic phonograms in forensic-acoustic expertise. – K.: NAVSU. – 300. (in Russian).
• 17. Sieriebriak K., 2012.: Information technologies in Ukraine: problems and obstacles Tеka. Commission of motorization and energetics in agriculture – V.12, № 3, 128-135.
• 18. 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.
• 19. Ye S., Sun Q., Chang E., 2007.: “Detecting digital image forgeries by measuring inconsistencies of blocking artifact,"in IEEE International Conference on Multimedia and Expo, 12-15.
• 20. Zhu B., Swanson M.D., Tewfik A.H., 2004.: “When seeing isn’t believing [multimedia authentication technologies],” //IEEE Signal Processing Magazine - Mar. – V. 21, № 2. – 40-49.